ICASSP-96 Conference Program



AE1
Audio and Electroacoustics
Poster, Wednesday Morning, SZLB 1
Microphone Arrays Beamforming and Hearing Aids
Gary Elko - AT&T Bell Labs

AE1.1

Microphone-Array Speech Recognition via Incremental MAP Training J. Adcock, Y. Gotoh, D. Mashao, H. Silverman, Division Engineering, Brown University, Providence, RI (USA)

AE1.2
Estimation of Microphone-Array Localization Errors with an Application to Optimal Sensor Placement M. Brandstein, J. Adcock, H. Silverman, Brown University, Providence, RI (USA)

AE1.3
Nearfield Broadband Frequency Invariant Beamforming R. Kennedy, T. Abhayapala, D. Ward, R. Williamson, Telecommunications Eng., RSISE, The Australian National Univ., Canberra (AUSTRALIA)

AE1.4
A Source Subspace Tracking Array of Microphones for Double Talk Situations S. Affes, Y. Grenier, ENST, Dept. Signal, Paris (FRANCE)

AE1.5
The True Duration of the Impulse Response Used to Estimate Reverberation Time L. Faiget, R. Ruiz, C. Legros, LAUTM/Univ. de Toulouse, Toulouse (FRANCE)

AE1.6
Sound Capture from Spatial Volumes -- Matched-Filter Processing of Microphone Arrays Having Randomly-Distributed Sensors J. Flanagan, E. Jan, CAIP Center, Rutgers University, Piscataway, NJ (USA)

AE1.7
Acoustic Source Location in Noisy and Reverberant Environment Using CSP Analysis M. Omologo, P. Svaizer, I.R.S.T. (ITALY)

AE1.8
A Robust Adaptive Beamformer for Microphone Arrays with a Blocking Matrix Using Constrained Adaptive Filters O. Hoshuyama, A. Sugiyama, NEC Corporation (JAPAN)

AE1.9
Voice-Activated AGC for Teleconferencing P. Chu, Picture Tel Corp., Lexington, MA (USA)

AE1.10
A Two-Microphone Adaptive Broadband Array for Hearing Aids V. DeBrunner, E. McKinney, University of Oklahoma, School of Electrical Eng., Norman, OK (USA)

AE1.11
Adaptive Spectral Contrast Enhancement Based on Masking Effect for the Hearing Impaired R. Zlatan, J. Yang, L. Mathias, Viennatone GMBH, Erlangen (GERMANY)



AE2
Audio and Electroacoustics
Poster, Wednesday Morning, SZLB 2
Echo Cancelation and Active Noise Control
Akihiko Sugiyama, -- Information Technology Research Laboratories, NEC Corp.

AE2.1

Stereo Echo Cancellation Algorithm Using Imaginary Input-Output Relationships S. Shimauchi, S. Makino, NTT Human Interface Labs, Tokyo (JAPAN)

AE2.2
SSB Subband Echo Canceller Using Low-Order Projection Algorithm S. Makino, J. Noebauer, Y. Haneda, A. Nakagawa, NTT Human Interface Labs, Tokyo (JAPAN)

AE2.3
A Fast Two Channel Projection Algorithm for Stereophonic Acoustic Echo Cancellation F. Amand, A. Gilloire, J. Benesty, Y. Grenier, CNET/LAA/TSS/CMC, Lannion (FRANCE)

AE2.4
Optimization of a Noise Reduction Preprocessing in an Acoustic Echo and Noise Controller R. Le Bouquin Jeannes, G. Faucon, B. Ayad, Laboratoire de Traitement du Signal et de l'Image (LTSI) Universite de Rennes 1, Rennes (FRANCE)

AE2.5
Dynamically Regularized Fast RLS with Application to Echo Cancellation S. Gay, AT&T Bell Labs, Murray Hill, NJ (USA)

AE2.6
Experimental Results of Subband Acoustic Echo Cancelers Using Spherically Invariant Random Processes P. DeLeon, D. Etter, University of Colorado, Boulder, CO (USA)

AE2.7
The Effect of Structured Uncertainty in the Estimated Plant on Multi-Channel Control System A. Omoto, S. Elliott, ISVR University of Southampton, Highfield, Southampton (UK)

AE2.8
Automated Placement of Transducers for Active Noise Control- Performance Measures L. Heck, J. Olkin, K. Naghshineh, Speech Technology & Res. Lab., SRI International, Menlo Park, CA (USA)

AE2.9
Optimisation of Controlled Acoustic Shadows S. Wright, B. Vuksanovic, School of Engineering, University of Huddersfield, Queensgate Huddersfield (UK)



AE3
Audio and Electroacoustics
Lecture, Thursday Morning, YMR
Auditory Modeling and Music
Julius Smith - Stanford Univ.

AE3.1

AM-FM Separation Using Auditory-Motivated Filters T. Quatieri, T. Hanna, MIT Lincoln Laboratory, Lexington, MA (USA)

AE3.2
A Gammachirp Function as an Optimal Auditory Filter with Mellin Transform T. Irino, NTT Basic Research Labs, Tokyo (JAPAN)

AE3.3
A Binaural Auditory Model for Sound Quality Measurements and Spatial Hearing Studies M. Karjalainen, Helsinki Univ of Tech, Acoust Lab, Espoo (FINLAND)

AE3.4
A Study of Auditory Resolution by Using Bark-FAMlet Clicks U. Laine, M. Huotilainen, Acoustics Laboratory, Helsinki University of Tech., Espoo (FINLAND)

AE3.5
Real-time Discrimination of Speech/Music on Broadcast Radio J. Saunders, Sanders Signal Processing, Center of Technology, Nashua, NH (USA)

AE3.6
Energy Separation of Acoustic Musical Instruments R. Sussman, M. Kahrs, Rutgers University, Piscataway, NJ (USA)

AE3.7
Automatic Audio Morphing M. Slaney, Interval Research Corp., Palo Alto, CA (USA)

AE3.8
Residual Modeling in Music Analysis-Synthesis M. Goodwin, U. C. Berkeley, Berkeley, CA (USA)

AE3.9
Computationally Efficient Algorithm for Time Scale Modification (GLS - TSM) S. Yim, B. Pawate, Texas Instruments, Tsukuba Research & Dev. Center, Tsukuba (JAPAN)

AE3.10
Multichannel Dynamic Range Compression for Music Signals J. Schmidt, J. Rutledge, EECS Dept., Northwestern University Evanston, IL (USA)



AE4
Audio and Electroacoustics
Lecture, Friday Morning, YMR
Audio Coding
Marina Bosi - Dolby Labs

AE4.1

A Bi-Dimensional Coding Scheme Applied to Audio Bitrate Reduction L. Mainard, M. Lever, CCETT, RCS/SDA, Cesson Sevigne (FRANCE)

AE4.2
Audio Coding with a Dynamic Wavelet Packet Decomposition Based on Frequency-Varying Modulated Lapped Transforms M. Purat, P. Noll, Inst. for Telecommunications, Technical Univ. of Berlin (GERMANY)

AE4.3
A Test of MPEG Using Time-Inverted Spoken Audio T. McLaughlin, J. Cookson, L. Rasmussen, National Library Service, for the Blind and Phys. Handicapped, Washington D. C. (USA)

AE4.4
Extension and Complexity Reduction of Twin VQ Audio Coder T. Moriya, N. Iwakami, K. Ikeda, S. Miki, NTT Human Interface Labs, Tokyo (JAPAN)

AE4.5
Minimizing the Effects of Subband Quantisation of the Time Domain Alaising Cancellation Filterbank C. Jakob, A. Bradley, CATT Centre, Royal Melbourne Institute of Technology, Victoria (AUSTRALIA)

AE4.6
Speech Analysis and Coding Using a Multi-Resolution Sinusoidal Transform D. Anderson, School of Electrical and Computer Eng., Georgia Tech, Atlanta, GA (USA)

AE4.7
Audio Coding Using the Wavelet Packet Transform and a Combined Scalar-Vector Quantization S. Boland, M. Deriche, Signal Processing Rsch. Ctr., School of EESE, Queensland Univ. of Technology, Brisbane (AUSTRALIA)

AE4.8
Low Bit Rate High Quality Audio Coding with Combined Harmonic and Wavelet Representations K. Hamdy, M. Ali, A. Tewfik, Dept of Electrical Engineering, University of Minnesota, Minneapolis, MN (USA)

AE4.9
A High Performance Software Implementation of MPEG Audio Encoder M. Kumar, IBM, Hawthorne, NY (USA)

AE4.10
Audio Compression at Low Bit Rates Using a Signal Adaptive Switched Filterbank D. Sinha, J. Johnston, AT&T Bell Labs, Murray Hill, NJ (USA)



DSP1
Digital Signal Processing
Poster, Tuesday Morning, North 1
Efficient Filters
Andrew Yagle - Univ. of Michigan

DSP1.1

Improved Design of Long FIR Filters Using the Frequency Response Masking Technique M. Bellanger, CNAM, Paris (FRANCE)

DSP1.2
Optimal Least-Squares Design of Pipelined Recursive Filters in the Time-Domain S. Pokala and A. Shaw, Electrical Eng. Dept., Wright State University, Dayton, OH (USA)

DSP1.3
Hardware Efficient FIR Filter Structures from Linear Program Design Constraints K. Sienski, M. Legako, E-Systems, Garland, TX (USA)

DSP1.4
GA-Based Design of Multiplierless 2-D State-Space Digital Filters with Very Small Roundoff Noise M. Kawamata, Y. Lee, T. Higuchi, Graduate School of Engineering, Tohoku University, Aoba-ku (JAPAN)

DSP1.5
Design of Computationally Efficient FIR Filters with Prefilter-Equalizer Structure Using Mixed Integer Linear Programming W. Oh, Dept. of Electrical Eng., Korea Adv. Inst. Science and Technology, Taejon (ROK)

DSP1.6
Convolution Using the Undecimated Discrete Wavelet Transform H. Guo, C. Burrus, ECE Dept, Rice University, Houston, TX (USA)

DSP1.7
DSP Implementation and Performance Evaluation of Sparse-Tap Adaptive FIR Filters with Tap-Position Control A. Hirano, A. Sugiyama, S. Ikeda, 272-3610, Technology Rsch. Labs, NEC Corp., Miyazaki (JAPAN)

DSP1.8
A Fast Transversal Filter for the Numerical Factorization of Polynomials A. Hasan, M. Azimi-Sadjadi, M. Hasan, Electrical Eng. Dept., Colorado State University, Fort Collins, CO (USA)

DSP1.9
Analysis of Subband Adaptive Filters H. Sakai, Faculty of Engineering, Kyoto University, Kyoto (JAPAN)

DSP1.10
A Parallel Structure Based on Sub-band Decomposition U. Iyer, M. Nayeri, Dept of Electrical Eng, Michigan State University, East Lansing, MI (USA)



DSP2
Digital Signal Processing
Lecture, Tuesday Morning, Salon IV
Fast Algorithms
Pierre Duhamel - SIG/ENST France

DSP2.1

Real-Valued Fast Discrete Fourier Transform and Cyclic Convolution Algorithms of Highly Composite Even Length H. Murakami, Kanazawa Institute of Tech, Ishikawa (JAPAN)

DSP2.2
DFT Computation Using Shift and Addition Operations N. Bhatnagar, San Jose, CA (USA)

DSP2.3
Pipeline Processor for Fast Architecture Oriented Regular DCT-IDCT Algorithm D. Akopian, J. Astola, Tampere Univ. of Technology, Tampere (FINLAND)

DSP2.4
An FFT for the 2-sphere and Applications D. Healy, D. Rockmore, S. Moore, Dept of Mathematics, Dartmouth College, Hanover, NH (USA)

DSP2.5
Fast Algorithm for 2-D Image Moments via the Radon Transform T. Shen, D. Lun, W. Siu, Dept of Electronic Eng., The Hong Kong Polytechnic Univ (HONG KONG)

DSP2.6
A New Algorithm for Computing Sparse Solutions to Linear Inverse Problems G. Harikumar, Y. Bresler, Coordinated Science Laboratory, Urbana, IL (USA)

DSP2.7
A Levinson-Like Fast Algorithm for Solving Block-Slanted-Toeplitz Systems of Equations Arising in Wavelet-Based Solution of Integral Equations R. Joshi, A. Yagle, Dept. of EECS, University of Michigan, Ann Arbor, MI (USA)

DSP2.8
A Fast M-D Chandrasekhar Algorithm for Second Order Volterra Adaptive Filtering M. Sayadi, A. Chaari, F. Fnaiech, M. Najim, ESTT, Tunis (TUNISIA)

DSP2.9
A Fast Wavelet Transform Domain LMS Algorithm S. Attallah, M. Najim, Lab d'Automatique et de Prod., Talence (FRANCE)

DSP2.10
A Polynomial-Transform Based Computation of the 2-D DCT with Minimum Multiplicative Complexity J. Prado, P. Duhamel, Telecom Paris, Dept Signal, Paris (FRANCE)



DSP3
Digital Signal Processing
Lecture, Tuesday Afternoon, Salon IV
Design and Implementation of Digital Filters
Tom Parks - Cornell Univ.

DSP3.1

The Digital Prolate Spheroidal Window T. Verma, S. Bilbao, Stanford University, Stanford, CA (USA)

DSP3.2
A Well-Conditioned Quadratic Program for Unique Design of Two-Dimensional Weighted Chebyshev FIR Filters S. Nordebo, I. Claesson, Dept of Signal Processing, University Coll. of Karlskrona, Ronneby (SWEDEN)

DSP3.3
Efficient Design of Families of FIR Filters by Transformation L. Karam, J. McClellan, School of Elec & Comp Eng., Georgia Institute of Tech., Atlanta, GA (USA)

DSP3.4
Applications of Discrete-time Laguerre Networks to Envelope Constrained Filter Design Z. Zang, B. Vo, A. Cantoni, K. Teo, ATRI, Curtin University of Techn., Bentley, WA (AUSTRALIA)

DSP3.5
Generalized Digital Butterworth Filter Design I. Selesnick, C. Burrus, Dept of Electrical & Comp Eng., Rice University, Houston, TX (USA)

DSP3.6
Roundoff Noise Minimization in a Direct Form Delta Operator Structure J. Kauraniemi, T. Laakso, I. Hartimo, S. Ovaska, Helsinki Univ of Tech, Faculty of Electr Eng, Lab of Signal Processing, Helsinki (FINLAND)

DSP3.7
Improved Power-of-Two Sharpening Filter Design by Genetic Algorithm P. Gentili, F. Piazza, A. Uncini, Dip. Elettronica e Automatica, Univ. Ancona (ITALY)

DSP3.8
Design of Stable IIR Filters in the Complex Domain by Automatic Delay Selection R. Vuerinckx, Y. Rolain, J. Schoukens, R. Pintelon, Elec Dept., Vrije Universiteit, Brussel (BELGIUM)

DSP3.9
Decolored Ll Filter Lattice: A Subclass of Ll Filters Useful in Practice Y. Kim, Signal Processing Labs, Samsung Electronics, Suwon (ROK)

DSP3.10
High-Order Error Feedback for Noise Reduction in State-Space Digital Filters T. Hinamoto, S. Karino, Faculty of Engineering, Hiroshima University, Higashi-Hiroshima (JAPAN)



DSP4
Digital Signal Processing
Poster, Tuesday Afternoon, North 1
Time/Frequency and Time/Scale Analysis
Les Atlas - Univ. of Washington

DSP4.1

Oversampled DFT Filter Banks and Gabor Expansions H. Bolcskei, INTHFT, Vienna Univ. of Technology, Vienna (AUSTRIA)

DSP4.2
Wigner-Type a-b and Time Frequency Analysis Based on Conjugate Operators F. Hlawatsch, H. Bolcskei, INTHFT, Vienna Univ. of Technology, Vienna (AUSTRIA)

DSP4.3
Local Polynomial Periodograms for Signals with the Time-Varying Frequency and Amplitude V. Katkovnik, Dept. of Statistics, University of South Africa, Pretoria (RSA)

DSP4.4
Evolutionary Spectral Analysis Using a Warped Gabor Expansion A. Akan, L. Chaparro, University of Pittsburgh, Pittsburgh, PA (USA)

DSP4.5
Discrete Powers-of-Two Kernels for Time-Frequency Distribution M. Amin, G. Venkatesan, Dept. of Elec./Comp. Eng., Villanova University, Philadelphia, PA (USA)

DSP4.6
Time-Frequency Strip Filters B. Weisburn, R. Shenoy, Schlumberger Doll Research, Ridgefield, CT (USA)

DSP4.7
Interactive Wavelet Processing and Techniques Applied to Digital Mammography I. Koren, A. Laine, F. Taylor, M. Lewis, Univ. of Florida, Gainesville, FL (USA)

DSP4.8
Optimal Phase Kernels for Time-Frequency Analysis L. Olsen, R. Baraniuk, Electrical & Comp Eng., Rice University, Houston, TX (USA)

DSP4.9
The Pseudo-Bertrand Distribution and Alternative Affine Class Generators P. Goncalves, R. Baraniuk, Electrical & Comp. Eng., Rice University, Houston, TX (USA)

DSP4.10
What are the Joint Time-Frequency Moments of a Signal? B. Tacer, P. Loughlin, University of Pittsburgh, Pittsburgh, PA (USA)



DSP5
Digital Signal Processing
Lecture, Wednesday Morning, Salon IV
Applications of Time/Frequency Representations
Patrick Flandrin - Ecole Normale Superieure de Lyon

DSP5.1

Generalized Joint Signal Representations and Optimum Detection A. Sayeed, D. Jones, Coordinated Science Lab, University of Illinois, Urbana, IL (USA)

DSP5.2
Analysis of Errors in Quantization of Weyl-Heisenberg Frame Expansions and Oversampled A/D Conversion Z. Cvetkovic, University of California at Berkeley, EECS Dept, Berkeley, CA (USA)

DSP5.3
Time-Varying Characteristics of Postural Sway Are Different for Patients and Healthy Controls P. Loughlin, M. Redfern, B. Tacer, University of Pittsburgh, Pittsburgh, PA (USA)

DSP5.4
Wavelet-Based Multi-Carrier CDMA for PCS K. Chang, X. Lin, VLSI Architecture Sec., Elec/Telecommunications Rsch., Taejon (ROK)

DSP5.5
Optimized Wavelets for Fingerprint Compression B. Sherlock, D. Monro, University of Bath, School of Elect. Eng., Claverton Down (UK)

DSP5.6
SurfWave: An Object-Oriented Class Library for Wavelet Analysis J. Adler, B. Rao, Tangent Systems, San Diego, CA (USA)

DSP5.7
Techniques for Fast Implementation of the Embedded Zerotree Wavelet (EZW) Algorithm J. Shapiro, Aware, Inc., Bedford, MA (USA)

DSP5.8
Fast Computation of the Continuous Wavelet Transform Through Oblique Projections M. Vrhel, C. Lee, M. Unser, BEIP/NCRR, National Institutes of Health, Bethesda, MD (USA)

DSP5.9
Design of Maximally Smooth Wavelets M. Lang, P. Heller, University of Bremen, Bremen (GERMANY)

DSP5.10
Towards a New Measure of Smoothness for the Design of Wavelet Basis J. Odegard, C. Burrus, Dept of ECE, Rice University, Houston, TX (USA)



DSP6
Digital Signal Processing
Poster, Wednesday Morning, North 2
Wavelets and Filter Banks
P.P. Vaidyanathan - Cal Tech

DSP6.1

On Arbitrary-Length Biorthogonal Cosine-Modulated Filter Bank T. Nguyen, University of Wisconsin, Madison, WI (USA)

DSP6.2
A Distortion Analysis and Optimal Design of Orthogonal Basis for DMT Transceivers X. Lin, A. Akansu, Dept of Elect & Comp Eng., New Jersey Inst of Tech, Newark, NJ (USA)

DSP6.3
Processing Arbitrary-Length Signals with MDFT Filter Banks T. Karp, J. Kliewer, A. Mertins, N. Fliege, Technische Universitat Hamburg, Hamburg (GERMANY)

DSP6.4
Cosin-Modulated 2-Dimensional Perfect Reconstruction FIR Filter Banks with Linear Phase T. Nagai, M. Ikehara, Keio University, Faculty of Science and Tech., Yokahama (JAPAN)

DSP6.5
Theory of Optimal Orthonormal Filter Banks P. Vaidyanathan, California Institute of Tech., Pasadena, CA (USA)

DSP6.6
Filter Bank Design for Minimum Distortion in Presence of Subband Quantization K. Gosse, F. Moreau de St-Martin, P. Duhamel, ENST Dept Signal, Paris (FRANCE)

DSP6.7
Signal-Based Design of Wavelet Filters F. Moreau de St-Martin, E. Gautier, J. d'Ales de Corbet, CCETT, Cesson-Sevigne (FRANCE)

DSP6.8
Two-Dimensional Orthogonal and Symmetrical Wavelets and Filter-Banks Y. Zeevi, D. Stanhill, Dept. of Electrical Eng., Technion, Haifa (ISRAEL)

DSP6.9
Statistical Behavior of Wavelet Transmultiplexers in Arbitrary Synchronization States M. Lyall, R. Orr, Atlantic Aerospace Elect. Corp, Greenbelt, MD (USA)

DSP6.10
Wavelets in Polar Coordinates O. Andric, C. Johnston, N. Erdol, Dept. of Electrical Eng., Florida Atlantic University, Boca Raton, FL (USA)



DSP7
Digital Signal Processing
Lecture, Wednesday Afternoon, Salon IV
Multirate Systems and Filter Banks
Henrique Malvar - Picture Tel

DSP7.1

Non-Uniform Filter Banks Based on a Multi-Protoype Cosine Modulation F. Argenti, E. Del Re, Dept. of Electronics Eng., Firenze (ITALY)

DSP7.2
Parameterization and Implementation of Orthogonal Wavelet Transforms P. Rieder, K. Gerganoff, J. Gotze, J. Nossek, Institute of Network Theory and Circuit Design, Technical Univ. of Munich, Munich (GERMANY)

DSP7.3
Design of Signal-Adapted FIR Paraunitary Filter Banks P. Moulin, Bellcore, Morristown, NJ (USA)

DSP7.4
A Nonlinear Subband Decomposition with Perfect Reconstruction F. Hampson, J. Pesquet, LSS, ESE, Gif-sur-Yvette (FRANCE)

DSP7.5
Optimal Design of Transmitter and Receiver Filters with Mixed Performance Objectives W. Campbell, T. Parks, Cornell University, School of Electrical Eng., Ithaca, NY (USA)

DSP7.6
Oversampled FIR Filter Banks and Frames in L-squared (Z) M. Vetterli, Z. Cvetkovic, University of California, EECS Dept, Berkeley, CA (USA)

DSP7.7
Multistage Multirate Adaptive Filters G. Williamson, S. Dasgupta, M. Fu, ECE Dept, IIT, Chicago, IL (USA)

DSP7.8
2D Factorizable FIR Principal Component Filter Banks B. Xuan, R. Bamberger, School of EECS, Washington State University, Pullman, WA (USA)

DSP7.9
Reconstruction-Optimized Lapped Orthogonal Transforms S. Hemami, Cornell University, School of Electrical Eng., Ithaca, NY (USA)

DSP7.10
A New Two-Dimensional Nonseparable Modulated Filter Banks S. Chan, Dept. of Elect & Elect Eng., The Univ. of Hong Kong, (HONG KONG)



DSP8
Digital Signal Processing
Poster, Wednesday Afternoon, North 2
Multirate Systems and Wavelets
Mark Smith - Georgia Tech

DSP8.1

Discrete Coefficient Filter Banks and Applications in Image Coding C. Kok, T. Nguyen, University of Wisconsin, ECE Department, Madison, WI (USA)

DSP8.2
A Polyphase Approach to Time-Varying Filter Banks P. Vaidyanathan, S. Phoong, California Inst. of Technology, Pasadena, CA (USA)

DSP8.3
A Low Probability of Intercept Signal Detection Receiver Using Quadrature Mirror Filter Bank Trees T. Farrell, G. Prescott, Kansas State Univ., Lawrence, KS (USA)

DSP8.4
Adaptive Spectrum Exchange and Modification Using Multirate Filters S. Wada, Dept. of Information Sciences, Faculty of Science & Eng., Tokyo Denki University, Tokyo (JAPAN)

DSP8.5
Design of 2-Dimensional Linear Phase Perfect Reconstruction FIR Filter Banks Using Lagrange Multiplier Method M. Ikehara, K. Inose, Keio University, Yokahama (JAPAN)

DSP8.6
A Pyramidal Coder Using a Non Linear Filter Bank R. Queiroz, D. Florencio, Xerox Corp., Webster, NY (USA)

DSP8.7
Determination of a Canonical Lattice Structure for Odd Length Linear-phase PR Filter Banks D. Pinchon, P. Siohan, Dept. IPT, CCETT, Cesson-Sevigne (FRANCE)

DSP8.8
Why and How Prefiltering for Discrete Mulitwavelet Transforms X. Xia, J. Geronimo, D. Hardin, B. Suter, Hughes Research Labs, Malibu, CA (USA)

DSP8.9
Adaptive Sampling Using the Discrete Wavelet Transform with Application to Surface Digitization in Automated Manufacturing V. Filimon, A. Sabharwal, L. Potter, Dept. Electrical Engineering, Ohio State University, Columbus, OH (USA)

DSP8.10
Modulated Filter Banks and Wavelets - A General Unified Theory R. Gopinath, IBM Watson Research, Yorktown Heights, NY (USA)



DSP9
Digital Signal Processing
Poster, Thursday Morning, North 2
Nonlinear Filters and Systems
Petros Maragos - Georgia Tech

DSP9.1

Parallel-Cascade Realizations and Approximations of Truncated Volterra Systems T. Panicker, V. Mathews, Dept. of Elect Engineering, University of Utah, Salt Lake City, UT (USA)

DSP9.2
Piecewise Volterra Filters Based on the Threshold Decomposition Operator E. Heedia, G. Arce, Dept. of Electrical Engineering, University of Delaware, Newark, DE (USA)

DSP9.3
Theory and Applications of Adaptive Second Order IIR Volterra Filters E. Roy, R. Stewart, T. Durrani, Signal Processing Division, Dept. EEE, Univ. of Strathclyde, Glasgow (UK)

DSP9.4
Two Dimensional Blind Volterra Signal Modeling T. Stathaki, Dept. of EE, Imperial College, London (UK)

DSP9.5
Channel Equalization for Communication with Chaotic Signals A. Oppenheim, K. Cuomo, R. Barron, Research Laboratory of Elect., MIT, Cambridge, MA (USA)

DSP9.6
TLS Parameter Estimation for Filtering Chaotic Time Series S. Schweizer, V. Stonick, J. Evans, Carnegie Mellon University, Pittsburgh, PA (USA)

DSP9.7
An Improved Quantitative Measure of Image Restoration Quality S. Choy, Y. Chan, W. Siu, Dept. of Electronic Eng., Hong Kong Polytechnic Univ., Hung Hom, Kowloon (HONG KONG)

DSP9.8
A Class of Stochastic Resonance Systems for Signal Processing Applications H. Papadopoulos, G. Wornell, MIT, Cambridge, MA (USA)

DSP9.9
Jacobi's Method for Massive Parallel Wave Digital Filter Algorithm T. Felderhoff, Univ. Paderborn, Stuttgart (GERMANY)

DSP9.10
Detection and Estimation of Soliton Signals A. Singer, MIT, Cambridge, MA (USA)



DSP10
Digital Signal Processing
Poster, Thursday Morning, North 3
Adaptive Filtering
Mike Larimore - Applied Signal Technology

DSP10.1

A Novel Adaptive IIR Filter Architecture for Active Noise Control D. Crawford, R. Stewart, E. Toma, University of Strathclyde, Signal Process. Division, Glasgow (UK)

DSP10.2
An Effective QRD-Based Approach to Adaptive IIR Filtering M. Harteneck, R. Stewart, J. McWhirter, University of Strathclyde, Signal Processing Division, Dept of EEE, Glasgow (UK)

DSP10.3
Canonical Time Series and Canonical Correlation for Filtering J. Thomas, L. Scharf, Dept of Electr & Comp Eng., University of Colorado, Boulder, CO (USA)

DSP10.4
A New Interpretation of the Misadjustment in Adaptive Filtering H. Butterweck, Eindhoven University of Technology, Eindhove (NETHERLANDS)

DSP10.5
Adaptive Threshold Nonlinear Algorithm for Adaptive Filters with Robustness Against Impulse Noise S. Koike, NEC Corporation, Tokyo (JAPAN)

DSP10.6
Adaptive Subspace Estimation, Application to Moving Sources Localization and Blind Channel Identification C. Riou, T. Chonavel, P. Cochet, Ecole Nationale Sup des Telecommunications de Bretagne, Plouzane (FRANCE)

DSP10.7
Average Quantizer Adaptation Rates for Stable ADPCM S. Dasgupta, Dept of Elect & Comp Eng., University of Iowa, Iowa City, IA (USA)

DSP10.8
Efficient Approximate Implementations of the Fast Affine Projection Algorithm Using Orthogonal Transforms S. Douglas, University of Utah, Dept of Electrical Eng., Salt Lake City, UT (USA)

DSP10.9
A Statistical Reference Criterion for Adaptive Filtering J. Sala, Gran Capita S/N, Campus Nord UPC, Barcelona (SPAIN)

DSP10.10
Extended Anti-Hebbian Adaptation for Unsupervised Source Separation Z. Malouche, O. Macci, Laboratoire de Signaux et Systemes, Supelec, Plateau de Moulon (FRANCE)



DSP11
Digital Signal Processing
Lecture, Thursday Afternoon, Salon IV
Signal Reconstruction I
Barry Sullivan - Ameritech

DSP11.1

Nonseparable Bandpass Sampling Theorems for Two-Dimensional Signals Y. Lin, P. Vaidyanathan, California Inst. of Tech., Pasadena, CA (USA)

DSP11.2 WITHDRAWN
A New Kind of Multiplexing Method: Spectral Correlation Division Multiplexing (SCDM) J. Zhang, Q. Jin, K. Wong, CRL McMaster University, Hamilton, ON (CANADA)

DSP11.3
Non-Iterative Implementation of the Discrete Gerchberg-Papoulis Algorithm D. Walsh, P. Delaney, M. Marcellin, ECE Dept., University of Arizona, Tucson, AZ (USA)

DSP11.4
New Results on Observation Selection in Signal Reconstruction S. Reeves, Dept. of Elect. Engineering, Auburn University, Auburn, AL (USA)

DSP11.5
A New Inverse Filter Criterion for Blind Deconvolution of Spiky Signals Using Gaussian Mixtures I. Santamaria-Caballero, A. Artes-Rodriguez, F. Diaz-de-Maria, C. Pantaleon-Prieto, Dpto. Electronica, ETSII Telecommunicacion, Santander (SPAIN)

DSP11.6
A New Linear Co-Channel Interference Mitigation Algorithm S. Heidari, C. Nikias, Signal & Image Process. Inst., Dept of Electrical Eng-Systs, University of Southern Cal., Los Angeles, CA (USA)

DSP11.7
A Novel Approach to Minimum-Rate Sampling and Reconstruction of Multiband Signals P. Feng, Y. Bresler, Coordinated Science Lab, Univ. Illinois, Urbana, IL (USA)

DSP11.8
1-D and 2-D Minimum and Non-Minimum Phase Retrieval by Solving Linear Systems of Equations A. Yagle, Dept. of EECS, University of Michigan, Ann Arbor, MI (USA)

DSP11.9
Phase Retrieval Using the Wavelet Transform A. Bell, Dept of EECS, University of Michigan Ann Arbor, MI (USA)

DSP11.10
Signal Processing and Piecewise Convex Estimation K. Riedel, New York University - CIMS, New York, NY (USA)



DSP12
Digital Signal Processing
Poster, Thursday Afternoon, South 1
Adaptive Equalization: Subband and Frequency Methods
Robert Gabel - MIT Lincoln Labs

DSP12.1

Equalisation of Time Variant Communications Channels, Channel Estimation Based Approaches T. Shimamura, S. Semnani, C. Cowan, Dept Electronic & Elec. Eng., Loughborough Univ. of Tech., Loughborough, Leicestershire (UK)

DSP12.2
A Differential Error Reference Adaptive Echo Canceller for Multilevel PAM Line Codes I. Perez Alvarez, J. Paez-Borrallo, S. Zazo Bello, ETSI Telecomunicacions, Univ. Politecnica de Madrid, Ciudad Universitaria, Madrid (SPAIN)

DSP12.3
Least-Mean-Log-Likelihood Adaptive Algorithm in Single-Layer Perceptron Based Communication Channel Equalisation C. Shang, C. Cowan, M. Holt, Dept of Elec & Elec Eng., Loughborough Univ of Tech, Loughborough, Leicestershire (UK)

DSP12.4
Full-Duplex Fast Estimation of Echo and Channel Responses in the Presence of Frequency Offsets in Both Far Signal and Far Echo X. Chen, Y. Wang, W. Li, B. Qin, Beijing Univ. of Posts and Telecommunications, Beijing (PRC)

DSP12.5
Channel Equalization Using Radial Basis Function Network J. Lee, C. Beach, N. Tepedelenioglu, Florida Institute of Technology, Palm Bay, FL (USA)

DSP12.6
Finding Misconvergences in Blind Equalizers and a New Variance-Constraint Cost Function to Mitigate the Problem M. Minardi, M. Ingram, School of ECE, Georgia Tech, Atlanta, GA (USA)

DSP12.7
A Subband Adaptive Filter with a Variable Analysis Filter Bank Y. Higa, H. Ochi, S. Kinjo, Faculty of Engineering, University of the Ryukyus, Nishihara-cho (JAPAN)

DSP12.8
A Block Quasi-Newton Algorithm Implemented in the Frequency Domain K. Berberidis, J. Palicot, Computer Technology Institute, Patras (GREECE)

DSP12.9
Subband Adaptive Filters with Zero Alias Component Constraints S. Zimmermann, G. Williamson, ECE Dept - IIT, Chicago, IL (USA)

DSP12.10
Wavelet Transform Domain RLS Algorithm S. Hosur, Dept. of Electrical Eng., University of Minnesota, Minneapolis, MN (USA)



DSP13
Digital Signal Processing
Poster, Friday Morning, North 2
DSP Applications
John Treichler - Applied Signal Technology

DSP13.1

Modified B-Spline Interpolators and Filters, Synthesis and Efficient Implementation K. Egiazarian, T. Saramaki, J. Astola, H. Chugurian, Tampere Univ. of Technology, Tampere (FINLAND)

DSP13.2
Simulation of Coupled Transmission Lines by Multidimensional Wave Digital Filters H. Krauss, Univ. Erlangen, Erlangen (GERMANY)

DSP13.3
An Eigenstructure Technique for Soft Synchronization of DSSSS Signals N. Mangalvedhe, J. Reed, Virginia Tech, Blacksburg, VA (USA)

DSP13.4
Bowing Virtual Strings J. Guerard, X. Boutillon, Universite Paris VI, Paris (FRANCE)

DSP13.5
Convergence Analysis of the Subspace Tracking Algorithms PAST and PASTd B. Yang, Department of Electrical Eng., Ruhr University Bochum, Bochum (GERMANY)

DSP13.6
Joint Optimal Impulse Response Shortening P. Melsa, R. Younce, C. Rohrs, Tellabs Research Center, Mishawaka, IN (USA)

DSP13.7
Design of Training Data-Based Quadratic Detectors with Application to Mechanical Systems B. Samimy, G. Rizzoni, A. Sayeed, D. Jones, Coordinated Science Lab, University of Illinois, Urbana, IL (USA)

DSP13.8
Deconvolution of Electrogram to Detect Infarcted Myocardium W. Ellis, S. Eisenberg, D. Auslander, M. Dae, A. Zakhor, M. Lesh, University of California, Berkeley, CA (USA)

DSP13.9
Detection of Cardiac Arrhythmias Using a Damped Exponential Modeling Algorithm S. Chen, P. Clarkson, Biomedical Eng. Center, The Ohio State University, Columbus, OH (USA)

DSP13.10
Blind Equalization, A New Convex Cost Function V. Shtrom, H. Fan, University of Cincinnati, Dept of Electr & Comptr Eng., Cincinatti, OH (USA)



DSP14
Digital Signal Processing
Poster, Friday Afternoon, South 1
Signal Reconstruction II
Stanley Reeves - Auburn University

DSP14.1

Affine Scaling Transformation Based Algorithms for Finding Sparse Solutions B. Rao, ECE Dept., Univ. of California at San Diego, La Jolla, CA (USA)

DSP14.2
Consistency in Quantized Matching Pursuit V. Goyal, M. Vetterli, Univ. California, Berkeley, CA (USA)

DSP14.3
New Algorithm for Convex Set Constrained Signal Reconstruction S. Dharanipragada, Ctr. for Language/Speech Proc., The Johns Hopkins University, Baltimore, MD (USA)

DSP14.4
Robust Constrained Deconvolution E. Sekko, P. Sarri, G. Thomas, UCBL LAGEP, Villeurbanne (FRANCE)

DSP14.5
Separation of a Mixture of Chaotic Signals H. Leung, J. Litva, Comm. Research Lab., McMaster University, Hamilton, ON (CANADA)

DSP14.6
Factal PN Signals and Systems for Broadband Communications: PN Wavelets and Interpolation Functions G. Freeland, T. Durrani, Signal Processing Division, Dept of Elect & Elect. Eng., Strathclyde University, Glasgow (UK)

DSP14.7
Multiscale Analysis of Fractal Point Processes and Queues W. Lam, G. Wornell, MIT, Dept. of EECS, Cambridge, MA (USA)

DSP14.8
Modeling Techniques for Multiscale Difference Equation Signal Models M. Ali, Dept of Electrical Engineering, University of Minnesota, Minneapolis, MN (USA)

DSP14.9
Perfect Reconstructing Non-Linear Filter Banks D. Florencio, R. Schafer, School of ECE, Ga. Tech, Atlanta, GA (USA)

DSP14.10
Time-Frequency Distributions Based on Teager-Kaiser Energy Function W. Lin, P. Chitrapu, Dialogic Corporation, Parsippany, NJ (USA)



DSP15
Digital Signal Processing
Lecture, Friday Afternoon, Salon II
Adaptive Filtering (LMS and Gradient Methods)
Virginia Stonick - CMU

DSP15.1

Simplified Global Least Mean Square for Adaptive IIR Filtering W. Edmonson, K. Srinivasan, University of Florida, Dept. of Electrical Eng., Gainesville, FL (USA)

DSP15.2
A Robust FLS Algorithm for LCMV Adaptive Broad-band Beamformer L. Resende, J. Romano, M. Bellanger, DECM/FEE/UNICAMP, Campinas-SP (BRAZIL)

DSP15.3
Instrumental Variables (IV) and Prediction Error (PE)-Like Second Order Recursive Algorithms A. Andersson, H. Broman, Dept. of Applied Electronics, Chalmers Univ. of Technology, Goteborg (SWEDEN)

DSP15.4
Linear and NonLinear Conjugate Gradient Methods for Adaptive Processing S. Smith, MIT Lincoln Laboratory, Lexington, MA (USA)

DSP15.5
A New Fully Adaptive Algorithm with Assured Stability for Adaptive Active Noise Control F. Jiang, H. Ohmori, A. Sano, Dept. of Electrical Eng., Keio University, Yokahama (JAPAN)

DSP15.6
Adjoint LMS, An Efficient Alternative to the Filtered X-LMS and Multiple Error LMS Algorithms E. Wan, Oregon Graduate Institute, Beaverton, OR (USA)

DSP15.7
A Kurtosis Driven Variable Step size LMS Algorithm D. Pazaitis, A. Constantinides, Signal Processing Section, Dept of Elect. & Elec. Eng., Imperial College of Science, London (UK)

DSP15.8
The LMK Algorithm with the Time-Varying Forgetting Factor for Adaptive System Identification in Additive Output Noise O. Tanrikulu, A. Constantinides, Sig. Proc. Section, Dept of Elect. & Elec. Eng., Imperial College of Science, London (UK)

DSP15.9
Convergence of the DLMS Algorithm with Decreasing Step Size S. Ahn, P. Voltz, Dept. of Applied Electronics, Korea University, Chungnam (ROK)

DSP15.10
Parallel Implementation of a Class of Algorithms Linking NLMS and Block RLS M. Moonen, Dept of Electrical Eng., ESAT, Katholieke Univ Leuven, Leuven (BELGIUM)



MDSP1
Image and Multidimensional Digital Signal Processing
Poster, Tuesday Morning, North 3
Image Compression
Jan Biemond, Delft Univ. of Tech.

MDSP1.1

Operator Theoretic Image Coding H. Puh, P. Combettes, Dept. of Electrical Eng., City College of CUNY, New York, NY (USA)

MDSP1.2
Adaptive Contour Coding Using Warped Polynomials W. Philips, ELIS/RUG, Gent (BELGIUM)

MDSP1.3
Multiresolution Segmentation-Based Image Coding with Hierarchical Data Structures H. Rabiee, R. Kashyap, S. Safavian, Purdue University, West LaFayette, IN (USA)

MDSP1.4
Optimality of Multiple Entropy Coder Systems for Nonstationary Sources Modelled by a Mixture Distribution J. Lervik, T. Ramstad, Dept. of Telecommunications, The Norwegian Inst. of Tech., Trondheim (NORWAY)

MDSP1.5
Segmentation-Based Wavelet Coding of FLIR Images E. Jang, S. Rizvi, N. Nasrabadi, SUNY-Buffalo, Amherst, NY (USA)

MDSP1.6
A Locally Adaptive Perceptual Masking Threshold Model for Image Coding T. Tran, R. Safranek, University of Wisconsin, Madison, WI (USA)

MDSP1.7
Channel Noise Recovery of Images through Anti-Gray Coding Technique C. Lin, C. Kuo, National Chung Cheng Univ., Dept. of Electrical Engineering, Chiayi, Taiwan (ROC)

MDSP1.8
CALICO - A Context-based, Adaptive, Lossless Image Codec X. Wu, N. Memon, Computer Science Dept., Northern Illinois Univ, DeKalb, IL (USA)

MDSP1.9
An Object-based Approach to Color Subsampling A. Moghaddamzadeh, N. Mohsenian, SUNY Binghamton, Castorland, NY (USA)

MDSP1.10
L (to the power of) 2 Versus L (to the power of) Infiniti Criterion L. Karray, C. Monrocq, T. Baum, France-Telecom CNET, Essy-les-Moulineaux (FRANCE)



MDSP2
Image and Multidimensional Digital Signal Processing
Lecture, Tuesday Morning, Salon II
Motion Estimation
F. Kossentini-Univ. of British Columbia

MDSP2.1

Motion Estimation by Image Content Matching and Application to Video Processing A. Kundu, US West Advanced Technology, Boulder, CO (USA)

MDSP2.2
Segmentation and Motion Estimation H. Nasari, J. Stuller, Univ. of Missouri-Rolla, Rolla, MO (USA)

MDSP2.3
Estimation of Rigid Body Motion and Scene Structure from Image Sequences Using a Novel Epipolar Transform E. Steinbach, B. Girod, Telecommunications Institute, Univ. of Erlangen-Nuremberg, Erlangen (GERMANY)

MDSP2.4
Object Tracking Based on Motion and Shape Information F. Moscheni, F. DuFaux, M. Kunt, EPFL DE/LTS, Lausanne (SWITZERLAND)

MDSP2.5
Temporally Adaptive Motion Estimation Based on the Temporal Subband Analysis Z. Yim, S. Kim, J. Chung, Dept. of Electronic Eng., Inha University, Incheon (ROK)

MDSP2.6
Formative Motion Estimation Technique for Translational, Affine and Zoom Sequences S. Skrzypkowiak, V. Jain, Dept. of Electrical Eng., University of South Florida, Tampa, FL (USA)

MDSP2.7
An Efficient Motion Estimation based on a Rate-Distortion Criterion W. Chung, F. Kossentini, M. Smith, School of Elect. & Comp. Eng., Atlanta, GA (USA)

MDSP2.8
DCT-Based Subpixel Motion Estimation U. Koc, K. Liu, A.V. Williams, Dept. of Electrical Eng., University of Maryland, College Park, MD (USA)

MDSP2.9
High Performance Algorithms for Motion Estimation for MPEG Encoder E. Linzer, P. Tiwari, M. Zubair, IBM Research, Yorktown Heights, NY (USA)

MDSP2.10
Robust Multiresolution Computation of Optical Flow E. Ong, M. Spann, School of Elec. & Elect. Eng., University of Birmingham, Birmingham (UK)



MDSP3
Image and Multidimensional Digital Signal Processing
Poster, Tuesday Afternoon, South 2
Still and Video Compression
L. Karam - Arizona State Univ.

MDSP3.1

ADPCM Encoding of Images Using a Conjugate Gradient Based Adaptive Algorithm K. Joo, T. Bose, D. Gschwind, Dept. of Electrical Engineering, University of Colorado, Boulder, CO (USA)

MDSP3.2
Pyramidal Image Compression Using Anisotropic and Error-Corrected Interpolation Y. You, M. Kaveh, Dept. of Electrical Engineering, University of Minnesota, Minneapolis, MN (USA)

MDSP3.3
Incorporating Human Visual System (HVS) Models into the Fractal Image Compression H. Lin, A. Venetsanopoules, Univ. of Toronto, Toronto (CANADA)

MDSP3.4
A Multiresolution Stochastic Process for Image Compression S. Moni, R. Kashyap, School of Electr. Eng., Purdue University, West Lafayette, IN (USA)

MDSP3.5
Coding for Content-Based Retrieval M. Swanson, S. Hosur, A. Tewfik, Dept. of EE, University of Minnesota, Minneapolis, MN (USA)

MDSP3.6
Lossy Image Compression with the CREW System A. Zandi, M. Boliek, E. Schwartz, RICOH California Research Ctr., Menlo Park, CA (USA)

MDSP3.7
A Video Compression Scheme With Optimal Bit Allocation Between Displacement Vector Field and Displaced Frame Difference G. Schuster, A. Katsaggelos, Dept. EECS, Northwestern University, Evanston, IL (USA)

MDSP3.8
Simultaneous Parameter Estimation and Image Segmentation for Image Sequence Coding K. Matthews, N. Namazi, Dept. of Electrical Engineering, The Catholic Univ. of America, Washington, DC (USA)

MDSP3.9
Statistical Optimization of Switched Two-Level Quantizers with Application to DPCM Encoding of Color Video F. Hartung, B. Girod, University of Erlangen, Erlangen (GERMANY)

MDSP3.10
Video Coding Using Affine Motion Compensated Prediction K. Zhang, M. Bober, J. Kittler, Dept. of Electronic Eng., University of Surrey, Guildford (UK)



MDSP4
Image and Multidimensional Digital Signal Processing
Lecture, Tuesday Afternoon, YMR
Video Compression 1
Eric Dubois - INRS Telecom

MDSP4.1

Partition Tree for Segmentation-Based Video Coding M. Pardas, P. Salembier, F. Marques, R. Morros, Dept de Teoria del Senyal, Campus Nord UPC, Barcelona (SPAIN)

MDSP4.2 WITHDRAWN
Video Coding Using 3-D Subband Decomposition and Pyramid Vector Quantization G. Jeong, W. Namgoong, Dept. of Elec. Eng., Stanford Univ., Stanford, CA (USA)

MDSP4.3
Optimal Warping Prediction for Video Coding A. Nosratinia, M. Orchard, Dept. of Elec. Engineering, Princeton University, Princeton, NJ (USA)

MDSP4.4
Adaptive Subband Video Coding Using Bivariate Generalized Gaussian Distribution Model M. Coban, R. Mersereau, School of Electr & Comp Eng, Georgia Institute of Tech, Atlanta, GA (USA)

MDSP4.5
A Parallel MPEGZ Video Encoder with Look-Ahead Rate Control P. Tiwari, E. Viscito, IBM Research, Hawthorne, NY (USA)

MDSP4.6
Post-Processing of MPEG2 Coded Video for Transmission at Lower BIT Rates P. Assuncao, M. Ghanbari, Dept of Electronic Systems Eng, Univ. Essex, Wivenhoe Park (UK)

MDSP4.6
MPEG Video Error Concealment for ATM Networks A. Tsai, J. Wilder, CAIP Center, Piscataway, NJ (USA)

MDSP4.8
Scalable Video by Software J. Nicholls, D. Monro, School of Electr. & Elect. Eng, University of Bath, Bath (UK)

MDSP4.9
UltraSound Video Coding Using a Three-dimensional Subband Decomposition A. Docef, M. Smith, School of Elect. & Comp. Eng, Atlanta, GA (USA)

MDSP4.10
Implications of a Segmentation-Based Motion Compensation Scheme for the Case of a Block Transform Encoder M. Sipitca, School of Elect. & Comp. Eng., Georgia Inst of Tech, Atlanta, GA (USA)



MDSP5
Image and Multidimensional Digital Signal Processing
Poster, Wednesday Morning, North 3
Vector Quantization
Michel Barlaud - Univ. Nice

MDSP5.1

Variable Size Finite-State Motion Vector Quantization A. Bilgin, M. Marcellin, H. Abut, Dept of Electrical & Comp. Eng, University of Arizona, Tucson, AZ (USA)

MDSP5.2
Scaled Hierarchical Vector Quantization K. Panusopone, K. Rao, University of Texas at Arlington, Arlington, TX (USA)

MDSP5.3
Finite State Table-Lookup Hierarchical Vector Quantization for Images N. Chaddha, S. Mehrotra, R. Gray, CIS, Stanford University, Stanford, CA (USA)

MDSP5.4
Multiple Codebook Decoding of VQ Compressed Images A. Narayan, J. Doherty, Dept. of E CPE, Iowa State University, Ames, IA (USA)

MDSP5.5
A Generalized VQ Method for Combined Compression and Estimation A. Rao, D. Miller, K. Rose, A. Gersho, Dept of Electrical & Comp Eng, University of California, Santa Barbara, CA (USA)

MDSP5.6
Training Set Synthesis for Entropy-Constrained Transform Vector Quantization D. Comaniciu, Polytechnic University, of Bucharest, Bucharest (ROMANIA)

MDSP5.7
Fast Codebook Search for Scalar-Vector Quantization Y. Yoo, A. Ortega, K. Ramchandran, Signal & Image Processing Inst, Dept of EE-Systems, University of Southern CA, Los Angeles, CA (USA)

MDSP5.8
Color Image Coding by Vector Subband/ECVQ with an Activity Map H. Li, V. Jain, Dept of Electrical Engineering, University of South Florida, Tampa, FL (USA)

MDSP5.9
Noisy Channel Relaxation for VQ Design S. Gadkari, K. Rose, Dept of Elect & Comp Eng, University of California, Santa Barbara, CA (USA)

MDSP5.10
Subband Image Coding Using Block-Zero Tree Coding and Vector Quantization N. Nasrabadi, S. Park, H. Moon, Dept. of Electrical and Computer Eng., State University of New York at Buffalo, Amherst, NY (USA)



MDSP6
Image and Multidimensional Digital Signal Processing
Lecture, Wednesday Afternoon, YMR
Very Low Bit Rate Coding/Computed Imagery
B. Girod - Univ. of Erlangen/ D. Munson - Univ. Ill

MDSP6.1

Cross-Modal Predictive Coding for Talking Head Sequences R. Rao, T. Chen, AT&T Bell Labs, Holmdel, NJ (USA)

MDSP6.2
Very Low Bit Rate Video Coding Using Active Triangular Mesh P. Salembier, X. Ayuso, Dept de Teoria del Senyal, Campus Nord UPC, Barcelona (SPAIN)

MDSP6.3
Building a Pseudo Object-Oriented Very Low Bit-Rate Video Coding System from a Modified Optical Flow Motion Estimation Algorithm C. Ku, Y. Chiu, L. Chen, Y. Lee, Dept. of Elec. Eng., Taipei, Taiwan (ROC)

MDSP6.4
Detection and Encoding of Occluded Areas in Very Low Bit Rate Video Coding T. Ozcelik, A. Katsaggelos, Sony Electronics, Inc., San Jose, CA (USA)

MDSP6.5
Joint Control of Spatial Quantization and Temporal Sampling for Very Low Bit Rate Video F. Martins, W. Ding, E. Feig, Dept. of ECE, CMU, Pittsburgh (USA)

MDSP6.6
3D Reconstruction of Partially Known Viral Structures from Solution X-Ray Scattering Data Y. Zheng, P. Doerschuk, Electrical Eng., Purdue University, West Lafayette, IN (USA)

MDSP6.7
Moving Target Detection in Foliage Using Along Track Monopulse Synthetic Aperture Radar Imaging M. Soumekh, Dept of Elec & Comp Eng, State University of New York at Buffalo, Amherst, NY (USA)

MDSP6.8
Autofocusing Techniques for SAR Imaging Based on the Multi-Lag High Order Ambiguity Function S. Barbarossa, A. Porchia, A. Scaglione, G. Giannakis, INFOCOM Dpt., Rome (ITALY)

MDSP6.9
A Matched-Filter Method for Motion-Compensated Spotlight-Mode SAR Processing C. Logan, H. Krim, A. Willsky, MIT, Cambridge, MA (USA)

MDSP6.10
Formulation of a General Imaging Algorithm for High-Resolution Synthetic Aperture Radar J. Lee, O. Arikan, D. Munson, Coordinated Science Lab., University of Illinois, Urbana, IL (USA)



MDSP7
Image and Multidimensional Digital Signal Processing
Poster, Wednesday Afternoon, SZLB 2
Video Compression 2
M. Civanlar - AT&T Bell Labs

MDSP7.1

Rate-Distortion Optimal Motion Estimation Algorithm for Video Coding M. Chen, A. Willson, University of California, Los Angeles, CA (USA)

MDSP7.2
Directional Spatial Interpolation for DCT-Based Low Bit Rate Coding W. Zeng, B. Liu, Dept of Electrical Engineering, Princeton University, Princeton, NJ (USA)

MDSP7.3
Progressive Image Transmission with Error Concealment on a Lossy Packet Network B. Srinivas, M. Azizoglu, E. Riskin, R. Ladner, Dept. of Electrical Eng., University of Washington, Seattle, WA (USA)

MDSP7.4
A Method for Accurate Occlusion Detection and Motion Refinement Y. Altunbasak, M. Tekalp, University of Rochester, Dept of EE, Rochester, NY (USA)

MDSP7.5
Displacement Vector Field Estimation Using Template Expansion Matching M. Choi, N. Galatsanos, ECE Dept, Illinois Institute of Tech., Chicago, IL (USA)

MDSP7.6
Low-Power Subband Video Compression Algorithm E. Farag, Electrical & Computer Eng Dept, University of Waterloo, Waterloo, ON (CANADA)

MDSP7.7
Adaptive Edge-Based Interpolation for Scanning Rate Conversion C. Kuo, C. Lin, National Chung Cheng Univers., Dept of Electrical Engineering, Chiayi, Taiwan (ROC)

MDSP7.8
Adaptive Spatial Noise Shaping for DCT Based Image Compression W. Stefan, R. Lagendijk, J. Biemond, Information Theory Group, Dept of Electrical Eng., Delft University of Technology, Delft (NETHERLANDS)

MDSP7.9
Compression of Medical Volumetric Data in a Video-Codec Framework Y. Wong, T. Chen, UTSA Engineering, San Antonio, TX (USA)

MDSP7.10
Scalable Video Coding with Adaptive Video Interpolation S. Bayrakeri, School of Electr. Eng., Georgia Institute of Tech, Atlanta, GA (USA)



MDSP8
Image and Multidimensional Digital Signal Processing
Lecture, Thursday Morning, Salon III
Image Recognition
J. Makhoul - BBN Systems and Technologies

MDSP8.1

Multi-Font Off-Line Arabic Character Recognition Using the BBN Byblos Speech Recognition System C. LaPre, Y. Zhao, R. Schwartz, J. Makhoul, BBN Systems and Technologies, Cambridge, MA (USA)

MDSP8.2
Polarimetric IR Automatic Target Detection and Recognition F. Sadjadi, Loral, Minneapolis, MN (USA)

MDSP8.3
Face Recognition using DCT-based Feature Vectors C. Podilchuk, X. Zhang, AT&T Bell Laboratories, Murray Hill, NJ (USA)

MDSP8.4
Face Recognition Using Discriminant Eigenvectors K. Etemad, R. Chellappa, Center for Automation Research, University of Maryland, College Park, MD (USA)

MDSP8.5
Classification and Indexing of Targets in Synthetic Aperture Radar Imagery Using Topographic Features R. Meth, R. Chellappa, Center for Automation Research, University of Maryland, College Park, MD (USA)

MDSP8.6
Lipreading from Color Motion Video J. Hwang, G. Chiou, J. Hwang, Dept of EE, University of Seattle, Seattle, WA (USA)

MDSP8.7
Processing of Three-Dimensional Differential Interference Contrast Microscopy Images for Data Visualization P. Feineigle, A. Witkin, V. Stonick, CMU, Pittsburgh, PA (USA)

MDSP8.8
Automatic Image-to-Site Model Registration R. Chellappa, Z. Xiaopeng, B. Philippe, Ctr. for Automation Rsch., University of Maryland, College Park, MD (USA)

MDSP8.9
Copyright Protection of Images Using Robust Digital Signatures N. Nikolaidis, I. Pitas, Dept of Electrical & Comp Eng, Aristotle Univ. of Thessaloniki (GREECE)

MDSP8.10
Change Detection in Sequences of Images by Multifractal Analysis C. Canus, J. Levy-Vehel, INRIA Domaine de Voluaan, Le Chesnay (FRANCE)



MDSP9
Image and Multidimensional Digital Signal Processing
Poster, Thursday Morning, North 1
Image Analysis
R. Chellappa - Univ. Maryland

MDSP9.1

Fusion of Color and Edge Information for Improved Segmentation and Edge Linking E. Saber, A. Tekalp, G. Bozdagi, Dept of Electrical Eng, University of Rochester, Rochester, NY (USA)

MDSP9.2
Fast Algorithms for Computing One and Two Dimensional Convolution in Integer Polynomial Rings H. Garg, C.H. Co, Department of Electrical Engineering, National Uninversity of Singapore, (SINGAPORE)

MDSP9.3
Directional Processing of Line-Drawing Images Based on Adaptive Morphological Operations G. Agam, I. Dinstein, Dept of Electrical & Comp Eng, Ben-Gurion Univ of the Negev, Beer-Sheva (ISRAEL)

MDSP9.4
Image Analysis Using Multifractals K. Uma, K. Ramakrishnan, G. Ananthkrishna, Dept of Electrical Eng, Indian Institute of Science, Bangalore (INDIA)

MDSP9.5
Stereo Image Coding Using a Subspace Projection Technique H. Aydinoglu, M. Hayes, School of Elect & Comp Eng, Georgia Institute of Tech, Atlanta, GA (USA)

MDSP9.6
A Physically Based Model for the Registration of a 2D Image Sequence J. Qian, T. Mitsa, E. Hoffman, Dept. of ECE, University of Iowa, Iowa City, IA (USA)

MDSP9.7
Progressive Classification in the Compressed Domain for Large EOS Satellite Databases V. Castelli, C. Li, J. Turek, I. Kontoyiannis, IBM TJ Watson Research Ctr., Hawthorne, NY (USA)

MDSP9.8
Morphological Operations on Images Represented by Quadtrees R. Lin, E. Wong, Dept. of Computer Science, Polytechnic University, Brooklyn, NY (USA)

MDSP9.9
A Robust and Real-Time Texture Analysis System Using A Distributed Workstation Cluster J. You, H. Cohen, W. Zhu, E. Pissaloux, School of Comp./Info. Science, Univ. of South Australia, The Levels, SA (AUSTRALIA)

MDSP9.10
Region-Based Enhancement of Digital Chest Radiographs J. Lin, S. Lo, M. Freedman, S. Mun, ISIS Ctr., Radiology Dept., Georgetown Univ. Medical Ctr., Washigton, DC (USA)



MDSP10
Image and Multidimensional Digital Signal Processing
Poster, Thursday Afternoon, North 1
Feature Extraction and Texture Separation
B. Jeffs - Brigham Young Univ.

MDSP10.1

A Pyramidal Edge Detector Based on Anisotropic Diffusion S. Acton, Oklahoma State University Stillwater, OK (USA)

MDSP10.2
Using the Generalized Radon Transform for Detection of Curves in Noisy Images P. Toft, Electronics Institute, Technical University of Denmark, Lyngby (DENMARK)

MDSP10.3
On the Use of the Karhunen - Loeve Transform and Expansion Matching for Generalized Feature Detection Z. Wang, J. Ben-Arie, EECS Dept. (M/C) 154, Univ. of Illinois at Chicago, Chicago, IL (USA)

MDSP10.4
Efficient ML Estimation of the Shape Parameter for Generalized Gaussian MRF S. Saquib, C. Bouman, K. Sauer, Purdue University, West Lafayette, IN (USA)

MDSP10.5
Text Segmentation in Mixed-Mode Images Using Classification Trees and Transform Tree-Structured Vector Quantization K. Perlmutter, N. Chaddha, J. Buckheit, R. Gray, R. Olshen, Stanford University, Stanford, CA (USA)

MDSP10.6
Unsupervised Vector Image Segmentation by the ICM Method J. Fwu, P. Djuric, Dept. of Elect. Eng., State University of New York, Stony Brook, NY (USA)

MDSP10.7
Automated Binary Texture Feature Sets for Image Retrieval J. Smith, S. Chang, Columbia Univ., New York, NY (USA)

MDSP10.8
Design of Multiple Gabor Filters for Texture Segmentation T. Weldon, W. Higgins, Dept. of Elec. Eng., Univ. of North Carolina Charlotte, NC (USA)

MDSP10.9
Multiscale Methods for the Segmentation of Images M. Schneider, P. Fieguth, W. Karl, A. Willsky, MIT, Cambridge, MA (USA)

MDSP10.10
X-Ray Medical Image Processing Using Directional Wavelet Transform L. Li, W. Qian, L. Clarke, Dept. of Radiology, Univ. of South Florida, Tampa, FL (USA)



MDSP11
Image and Multidimensional Digital Signal Processing
Lecture, Friday Morning, Salon IV
Image Enhancement and Restoration
A. Katsaggelos - Northwestern Univ.

MDSP11.1

Bayesian Filters for Image Estimation S. Kadaba, S. Gelfand, Purdue University, School of EE, West LaFayette, IN (USA)

MDSP11.2
Distance Order Statistic Filtering Using Selection Probabilities S. Siren, K. Egiazarian, P. Kuosmanen, Tampere Univ. of Technology, Tampere (FINLAND)

MDSP11.3
Exponential Nonlinear Filters for Contrast Sharpening in Noisy Images R. deFigueiredo, Dept. of Elec/Comp Eng., University of California at Irvine, Irvine, CA (USA)

MDSP11.4
Adaptively Weighted Vector-Median Filters for Motion-Fields Smoothing L. Alparone, M. Barni, F. Bartolini, V. Cappellini, Dpto Ingegneria Elettronica, Firenze (ITALY)

MDSP11.5
Image Restoration by 1-D Kalman Filtering on Oriented Image Decompositions M. Mattavelli, M. Benoit, V. Vincent, T. Gilles, Signal Processing Lab, Ecole Polytechnique Federale de Lausanne, Lausanne (SWITZERLAND)

MDSP11.6
Bi-directional 3D Auto-Regressive Model approach to Motion Picture Restoration W. Goh, M. Chong, S. Kalra, D. Krishnan, School of Applied Science, Nanyang Tech. University (SINGAPORE)

MDSP11.7
Multiscale Blind Image Restoration Using a Wavelet Decomposition S. Tang, R. Mersereau, School of ECE, Georgia Institute of Tech., Atlanta, GA (USA)

MDSP11.8
Blind Image Restoration via Recursive Filtering Using Deterministic Constraints D. Kundur, D. Hatzinakos, Dept. of Elect & Comp Eng, University of Toronto, Toronto, ON (CANADA)

MDSP11.9
An Adaptive Approach for Removing Impulsive Noise in Digital Images H. Kong, L. Guan, Dept. of Electrical Eng., University of Sydney, Sydney, NSW (AUSTRALIA)

MDSP11.10
A Working Spatio-Temporal Model of the Human Visual System for Image Restoration and Quality Assessment Applications C. van den Brandon, Signal Processing Lab., Swiss Federal Inst. of Tech., Lausanne (SWITZERLAND)



MDSP12
Image and Multidimensional Digital Signal Processing
Poster, Friday Morning, North 1
Motion Compensation
M. Tekalp - Univ. Rochester

MDSP12.1

The Motion Transform: A New Motion Compensation Technique R. Armitano, D. Florencio, R. Schafer, Digital Signal Processing Lab., Georgia Institute of Tech., Atlanta, GA (USA)

MDSP12.2
A New Stochastic Block Matching Algorithm (SBMA) for Video Coding Based on Modified 3-Step Search K. Sungook, J. Chalidabhongse, C. Kuo, Signal & Image Processing Inst., Dept. of EE-Systems, University of Southern CA, Los Angeles, CA (USA)

MDSP12.3
A High-Throughput Modular Architecture for Three-Step Search Block Motion Estimation H. Yeo, Y. Hu, Dept. of Elect. & Comp. Eng., University of Wisconsin, Madison, WI (USA)

MDSP12.4
A Fast Algorithm for DCT-Domain Inverse Motion Compenstation N. Merhav, V. Bhaskaran, HP Laboratories, Palo Alto, CA (USA)

MDSP12.5
Fast Block Matching Algorithms for Motion Estimation K. Cheng, S. Chan, Dept. of Elect. & Elect. Eng., The Univ. of Hong Kong (HONG KONG)

MDSP12.6
Hierarchical Displacement-Field Coding Using BFOS Tree-Pruning H. Bi, W. Chan, Dept. of Elect. & Comp. Eng., Illinois Institute of Tech., Chicago, IL (USA)

MDSP12.7
Motion-Compensated Frame Rate Conversion Using an Accelerated Motion Model P. Csillag, L. Boroczky, KFKI Research Inst. for Measurement/Computing Tech., Budapest (HUNGARY)

MDSP12.8
Hierarchical Block Motion Estimation Based on Visual Patterns for Video Coding S. Zhong, F. Chin, Dept. of Computer Science, University of Hong Kong (HONG KONG)

MDSP12.9
Modified Motion Compensated Temporal Interpolation for Very-Low-bit-Rate Video O. Au, C. Wong, Dept. of Elec. & Elect. Eng., The Hong Kong University of Science & Technology (HONG KONG)

MDSP12.10
Subband Video Coding with Smooth Motion Compensation A. Fuldseth, T. Ramstad, Dept. of Telecommunications, The Norwegian Inst. of Tech., Trondheim (NORWAY)



MDSP13
Image and Multidimensional Digital Signal Processing
Poster, Friday Afternoon, SZLB 2
Wavelet Compression
J. Kovacevic - AT&T Bell Labs

MDSP13.1

Arbitrarily-Shaped Wavelet Packets for Zerotree Coding O. Egger, T. Ebrahimi, M. Kunt, EPFL-DE-LTS, Lausanne (SWITZERLAND)

MDSP13.2
Bit Allocation via Recursive Optimal Pruning with Applications to Wavelet/VQ Image Compression J. Goldschneider, E. Riskin, Dept. of Electrical Eng., University of Washington, Seattle, WA (USA)

MDSP13.3
Multiresolution Joint Source-Channel Coding Using Embedded Constellations for Power-Constrained Time-Varying Channels K. Ramchandran, I. Kozintsev, Beckman Institute, University of Illinois, Urbana, IL (USA)

MDSP13.4
Local Bases Yielding Arbitrary Tilings of the Time-Frequency Plane B. Riccardo, J. Kovacevic, AT&T Bell Labs, Murray Hill, NJ (USA)

MDSP13.5
Constructing Optimal Wavelet Basis for Image Compression Y. Zhuang, J. Baras, Iterated Systems, Atlanta, GA (USA)

MDSP13.6
A Feature-Based Subband Coding Scheme J. Casas, L. Torres, Signal Theory & Communications, Campus Nord UPC, Barcelona (SPAIN)

MDSP13.7
Image Compression via Adaptive Self-Quantization of Wavelet Subtrees G. Davis, Math Department, Dartmouth College, Hanover, NH (USA)

MDSP13.8
Edge Sensitive Subband Coding of Images K. Cinkler, A. Mertins, Hamburg University of Tech., Telecommunications Dept., Hamburg (GERMANY)

MDSP13.9
Improving the Subjective Quality of Low Bit Rate Subband/Wavelet Coded Images Y. Lee, F. Kossentini, R. Ward, Dept. of Electrical Eng., University of British Columbia, Vancouver, BC (CANADA)

MDSP13.10
Motion Estimation Using Complex Wavelets J. Magarey, N. Kingsbury, Cambridge University, Dept. of Engineering, Cambridge (UK)



MDSP14
Image and Multidimensional Digital Signal Processing
Lecture, Friday Afternoon, Salon I
Multidimensional Systems and Filters
A. Swami - ARL

MDSP14.1

Multidimensional System Simulation with Functional Transformations R. Rabenstein, Telecommunications Institute, Univ. of Erlangen-Nuremberg, Erlangen (GERMANY)

MDSP14.2
Some Properties of Generalized Factorable 2-D FIR Filters R. Manduchi, California Institute of Tech., Pasadena, CA (USA)

MDSP14.3
Multidimensional Windows Over Arbitrary Lattices and Their Application to FIR Filter Design S. Coulombe, E. Dubois, INRS - Telecommunications, Verdun, PQ (CANADA)

MDSP14.4
A Filter Design Technique for Steerable Pyramid Image Transforms A. Karasaridis, E. Simoncelli, Univ. of Pennsylvania, Philadelphia, PA (USA)

MDSP14.5
Bounds on Filters by Reconstruction J. Crespo, R. Schafer, Facultad de Informatica, Universidad Politec de Madrid, Madrid (SPAIN)

MDSP14.6
Model-Based Optical Two-Point Resolution A. den Dekker, Delft Univ. of Technology, Dept. of Applied Physics, Delft (NETHERLANDS)

MDSP14.7
Near Optimal Geometric Image Scaling Using Oblique Projection Operators C. Lee, M. Eden, M. Unser, BEIP/NCRR, National Institutes of Health, Bethesda, MD (USA)

MDSP14.8
A Transform Domain Approach to Spatial Domain Image Scaling N. Merhav, V. Bhaskaran, HP Laboratories, Palo Alto, CA (USA)

MDSP14.9
Optimal Representation of Images by Localized Phase M. Porat, N. Cohen, S. Urieli, Dept. of Electrical Eng., Technion, Haifa (ISRAEL)

MDSP14.10
The Polynomial Phase Differencing Algorithm for 2-D Phase Unwrapping: Performance Analysis, J. Francos, B. Friedlander, Dept. Elec. & Comp. Eng., Ben-Gurion University, Beer-Sheva (ISRAEL)



PRNN1
Pattern Recognition and Neural Networks for Signal Processing
Poster, Tuesday Afternoon, South 1
Neural Networks for Speech Processing
S. Katagiri - ATR

PRNN1.1

A Telephone-Based Directory Assistance System Adaptively Trained Using Minimum Classification Error / Generalized Probabilistic Descent E. McDermott, E. Woudenberg, S. Katagiri, ATR Human Information Process., Research Laboratories, Kyoto (JAPAN)

PRNN1.2
REMAP - Experiments with Speech Recognition Y. Konig, H. Bourlard, N. Morgan, ICSI, Berkeley, CA (USA)

PRNN1.3
Strategies for Reducing the Complexity of a RNN Based Speech Recognizer K. Kasper, H. Reininger, H. Wust, Institut fur Angewandte Physik, Frankfurt (GERMANY)

PRNN1.4
Toward Environment-Independent Continuous Speech Recognition D. Yuk, C. Che, L. Jin, Q. Lin, CAIP Center,Rutgers University, Piscataway, NJ (USA)

PRNN1.5
Comparison Between Two Hybrid HMM/MLP Approaches in Speech Recognition C. Ris, V. Fontaine, H. Leich, J. Vantieghem, S. Accaino, D. Van Compernolle, Faculte Polytechnique de Mons, TCTS Labs, Mons (BELGIUM)

PRNN1.6
GPD Training of the State Weighting Functions in Hidden Control Neural Network K. Na, S. Chae, Dept. of Electronics Eng., Seoul National University, Seoul (ROK)

PRNN1.7
Continuous Mandarin Speech Recognition Using Heirarchical Recurrent Neural Networks Y. Liao, W. Chen, S. Chen, Dept of Communication Eng, National Chiao Tung University, Taiwan (ROC)

PRNN1.8
Probabilistic Mapping Networks for Speaker Recognition H. Li, Y. Gong, CRIN-CNRS/INRIA - Lorraine, Nancy (FRANCE)

PRNN1.9
Shift-Tolerant K-Subspaces for Phoneme Recognition D. Wu, J. Gowdy, Riggs Hall, Clemson University, Clemson, SC (USA)

PRNN1.10
Speaker-Adaptation in a Hybrid HMM-MLP Recognizer J. Neto, C. Martins, L. Almeida, INESC, Lisboa (PORTUGAL)



PRNN2
Pattern Recognition and Neural Networks for Signal Processing
Lecture, Wednesday Morning, YMR
Neural Network Techniques for for Image Processing and Analysis
J-N. Hwang - Univ. Washington

PRNN2.1

Automatic Target Recognition Using Modularly Cascaded Vector Quantizers and Multilayer Perceptrons L. Chan, N. Nasrabadi, SUNY at Buffalo, ECE Dept., Amherst, NY (USA)

PRNN2.2
Distortion Equalized Fuzzy Competitive Learning for Image Data Vector Quantization D. Butler, J. Jiang, School of Eng, Bolton Institute, Bolton (UK)

PRNN2.3
Revisiting Bolzmann Learning: Parameter Estimation in Markov Fields L. Hansen, L. Andersen, U. Kjems, J. Larsen, Electronics Institute, Technical University of Denmark, Lyngby (DENMARK)

PRNN2.4
Morphological/Rank Neural Networks and their Adaptive Optimal Design for Image Processing L. Pessoa, P. Maragos, School of Electr. & Comp. Eng, Georgia Tech, Atlanta, GA (USA)

PRNN2.5
Nonlinear Color Image Restoration using Extended Radial Basis Function Networks I. Cha, S. Kassam, Dept. of Elec. Engineering, University of Pennsylvania, Philadelphia, PA (USA)

PRNN2.6
A Unification of Relaxation Labeling and Associative Memory X. Zhuang, Y. Zhao, Dept. of Elect. & Comp. Eng, University of Missouri, Columbia, MO (USA)

PRNN2.7
Principal Singular Vector Analysis for Separating Moving Objects in Noisy Perspective Images S. Kung, Y. Lin, Dept of EE, Princeton University, Princeton, NJ (USA)

PRNN2.8
Multiplierless Neural Networks for Application to Digital Video M. Cavanagh, V. Jain, Dept of Electrical Eng., University of South Florida, Tampa, FL (USA)

PRNN2.9
Neural Network Object Recognition for Inspection of Patient Setup in Radiation Therapy from Portal Images S. Young, A. Ho, C. Sibata, K. Shin, Dept. of Radiation Medicine, Roswell Park Cancer Inst., Buffalo, NY (USA)

PRNN2.10
Efficient Learning of Finite Normal Mixtures for Image Quantification Y. Wang, T. Adali, Dept of Computer Science & Electrical Engineering, University of Maryland, Baltimore County, MD (USA)



PRNN3
Pattern Recognition and Neural Networks for Signal Processing
Poster, Wednesday Afternoon, SZLB 1
Neural Networks and Pattern Recognition 1
L.Hansen - Tech. Univ. Denmark

PRNN3.1

A Chain Coding Approach for Real-Time Recognition of On-line Handwritten Characters H. Yuen, L. Hanzo, Dept. of Electronic Eng., Hong Kong Polytechnic Univ., Kowloon (HONG KONG)

PRNN3.2
A Unified Approach to Hierarchical Classification D. Kil, F. Shin, Loral Defense Systems-AZ, Goodyear, AZ (USA)

PRNN3.3
A Soft-Decision Approach for Symbol Segmentation within Handwritten Mathematical Expressions S. Lehmberg, H. Winkler, M. Lang, Institute for Human-Machine-Communication, Munich University of Tech., Munich (GERMANY)

PRNN3.4
HMM-based Handwritten Symbol Recognition Using On-line and Off-line Features H. Winkler, Inst. for Human-Mach-Comm, Munich University of Techn., Muenchen (GERMANY)

PRNN3.5
From Characters to Words: Dynamical Segmentation and Predictive Neural Networks S. Garcia-Salicetti, Institut National des Telecommunications, Dept. SIM, Barcelona (SPAIN)

PRNN3.6
A New Reduction Algorithm for Pattern Classification H. Tahani, N.S. Hemamalini, B. Plummer, University of Missouri, Columbia, MO (USA)

PRNN3.7
Fast Online Video Image Sequence Recognition with Statistical Methods M. Schuster, G. Rigoll, Gerhard-Mercator-Univ Duisburg, Faculty of Elect. Eng., Dept of Computer Science, Duisburg (GERMANY)

PRNN3.8
Handwritten Word Recognition Using Dynamic Matching with Variable Duration G. Kim, V. Govindaraju, S. Srihari, CEDAR/202 UB Commons, Amherst, NY (USA)

PRNN3.9
Scale and Rotational Invariant Object Recognition Using Fractal Transformations N. Geoffrey, M. Curtis, Dept of Elect & Elect Eng, University of Nottingham (UK)

PRNN3.10
Optimal Discriminant Feature-Based Waveform Recognition with Neural Networks J. Miao, M. Clements, School of Electr. & Comp. Eng, Georgia Institute of Techn., Atlanta, GA (USA)



PRNN4
Pattern Recognition and Neural Networks for Signal Processing
Poster, Thursday Morning, SZLB 2
Neural Networks and Pattern Recogition 2
E. Monolakos - Northeastern Univ.

PRNN4.1

Parsing in Attributed Grammars: Application to Automatic Sleep Analysis A. Fred, J. Leitao, Instituto de Telecomunicacoes, Instituto Superior Tecnico, Lisboa (PORTUGAL)

PRNN4.2
Affine Invariant Shape Representation and Recognition Using Gaussian Kernels and Multi-diemnsional Indexing B. Jezekial, Z. Wang, K. Rao, EECS Dept, Univ of Illinois at Chicago, IL (USA)

PRNN4.3
Road Scene Analysis from Perspective Image Y. Juping, O. Shinji, Dept. of Electrical Eng., Keio University, Yokahama (JAPAN)

PRNN4.4
Writer Dependent Recognition of On-Line Unconstrained Handwriting J. Subrahmonia, K. Nathan, M. Perrone, IBM T.J. Watson Rsch. Ctr., Yorktown Heights, NY (USA)

PRNN4.5
Duration Modelling Results for an On-Line Handwriting Recognizer A. Senior, J. Subrahmonia, K. Nathan, IBM T.J. Watson Rsch. Ctr., Yorktown Heights, NY (USA)

PRNN4.6
Properties of a Hand-Printed Chinese Character Recognizer Based on Contextual Vector Quantization P. Chee, S. Leung, P. Wong, C. Chan, Dept of Computer Science, The University of Hong Kong (HONG KONG)

PRNN4.7
Optimized Consensus Theory J. Benediktsson, J. Sveinsson, P. Swain, Engineering Research Institute, University of Iceland, Reykjavik (ICELAND)

PRNN4.8
Chinese All Syllables Recognition Using Combination of Multiple Classifiers L. Zhou, S. Imai, Precision & Intell. Lab., Tokyo Institute of Tech., Tokyo (JAPAN)

PRNN4.9
Similarity Analysis of Cardiac Signals Using Temporal Features B. de Jesus, L. Lucke, University of Minnesota, Dept of Electrical Eng, Minneapolis, MN (USA)

PRNN4.10
Initialization of Hidden Markov Models for Unconstrained On-Line Handwriting Recognition K. Nathan, J. Subrahmonia, A. Senior, IBM T.J. Watson Rsch. Center, Yorktown Heights, NY (USA)



PRNN5
Pattern Recognition and Neural Networks for Signal Processing
Lecture, Thursday Afternoon, YMR
Nonlinear System Identification
B. De Vries - Sarnoff Labs

PRNN5.1

Diagnosing and Correcting System Anomalies with a Robust Classifier J. Hampshire, D. Watola, Dept. of Elect. & Comp. Eng, Carnegie Mellon University, Pittsburgh, PA (USA)

PRNN5.2
Blind Source Separation of Delayed Sources Based on Information Maximization K. Torkkola, Motorola, Inc., Tempe, AZ (USA)

PRNN5.3
Modeling Nonlinear Systems With Cellular Neural Networks F. Puffer, R. Tezlaff, D. Wolf, Inst. fur Angewandte Phys., Frankfurt (GERMANY)

PRNN5.4
Energy Demodulation of Two-Component AM-FM Signals with Application to Speaker Separation B. Santhanam, P. Maragos, Digital Signal Processing Lab, School of Electr. & Comp. Eng., Georgia Institute of Tech., Atlanta, GA (USA)

PRNN5.5
Adaptive Non-linear System Identification Using Minimal Radial Basis Function Neural Network Y. Lu, N. Sundararajan, P. Saratchandran, School of Elec. Eng., Nanyang Technological Univ. (SINGAPORE)

PRNN5.6
Expanding Gaussian Kernels for Multivariate Conditional Density Estimation D. Davis, J. Hwang, Dept. of EE, University of Washington, Seattle, WA (USA)

PRNN5.7
Fast Adaptive IIR-MLP Neural Networks for Signal Processing Applications P. Campolucci, A. Uncini, F. Piazza, Dip. Elettronica e Automatica, Univ. di Ancona (ITALY)

PRNN5.8
Information Geometry of Maximum Partial Likelihood Estimation for Channel Equalization J. Xuan, T. Adali, X. Liu, Dept of Computer Science, & Electrical Eng., University of Maryland, Baltimore County, MD (USA)

PRNN5.9
Statistical Analysis of the Single-Layer Backpropagation Algorithm with Bias Terms: Mean Weight Behavior J. Shynk, N. Bershad, Dept of Electr. & Comp. Eng., University of California, Santa Barbara, CA (USA)

PRNN5.10
Fast Nonlinear Adaptive Filtering Using a Partial Window Conjugate Gradient Algorithm N. Birkett, R. Goubran, Carleton University, Richmond, ON (CANADA)



PRNN6
Pattern Recognition and Neural Networks for Signal Processing
Lecture, Friday Afternoon, Salon IV
Modeling Theory and Architecture in Neural Networks
Y.H. Hu -Univ. Wisconsin

PRNN6.1

Building an Application Framework for Speech and Pen Input Integration in Multimodal Learning Interfaces M. Vo, C. Wood, School of Computer Science, Carnegie Mellon University, Pittsburgh, PA (USA)

PRNN6.2
TOM, A New Temporal Neural Net Architecture for Speech Signal Processing S. Durand, F. Alexandre, Crin-CNRS/INRIA Lorraine, Vandoeuvre-les-Nancy (FRANCE)

PRNN6.3
A Probabilistic Decision-Based Neural Network for Locating Deformable Objects and its Application to Face Detection and Eye Localization S. Lin, S. Kung, L. Lin, Dept. of EE, Princeton University, Princeton, NJ (USA)

PRNN6.4
Self-Organizing Feature Maps with Perfect Organization L. Owsley, L. Atlas, G. Bernard, University of Washington, Dept. of Electrical Engineering, Seattle, WA (USA)

PRNN6.5
Maximum Partial Likelihood Estimation for Real-Time Signal Processing T. Adali, K. Sonmez, X. Liu, Dept. of Computer Science, & Electrical Engineering, University of Maryland, Baltimore County, MD (USA)

PRNN6.6
Robust Learning Algorithms for Nonlinear Filtering D. Neumerkel, R. Shorten, A. Hambrecht, Daimler-Benz AG, Berlin (GERMANY)

PRNN6.7
Advances in Using Hierarchical Mixture of Experts for Signal Classification V. Ramamurti, J. Ghosh, Dept. of Electrical & Comp Eng., University of Texas, Austin, TX (USA)

PRNN6.8
Comparison of a Neural Network Detector vs Neyman-Pearson Optimal Detector D. Andina, J. Sanz-Gozalez, Dept. SSR ETSI de Telecomm., Universidad Politecnica de Madrid (SPAIN)

PRNN6.9
An Algorithm to Determine Hidden Markov Model Topology A. El-Jaroudi, R. Vasko, J. Boston, University of Pittsburgh, Pittsburgh, PA (USA)

PRNN6.10
Wreath Products for Image Processing D. Healy, Jr., T. Olson, D. Rockmore, Dept. of Mathematics, Dartmouth College, Hanover, NH (USA)



SP1
Speech Processing
Poster, Tuesday Morning, SZLB 1
Robust Recognition: Signals and Features
A. Sankar - SRI

SP1.1

Feature Parameter Curve Method for High Performance NN-based Speech Recognition S. Zhu, D. Chen, T. Huang, National Lab. of Pattern Recog., Beijing (PRC)

SP1.2
On the Use of Residual Cepstrum in Speech Recognition J. He, L. Liu, G. Palm, Abteilung Neuroinformatik, University of Ulm, Ulm (GERMANY)

SP1.3
HMM-Based Speech Recognition Using State-Dependent, Discriminatively Derived Transforms on Melwarped DFT Features C. Rathinavelu, L. Deng, Dept of Elec. Eng., University of Waterloo, Waterloo, ON (CANADA)

SP1.4
Mixed Malvar-Wavelets for Non-Stationary Signal Representation J. Thripuraneni, W. Lou, V. DeBrunner, School of Electrical Eng, The University of Oklahoma, Norman, OK (USA)

SP1.5
Experiments on a Parametric Nonlinear Spectral Warping for HMM-based Speech Recognizer D. Mashao, Division of Engineering, Brown University, Providence, RI (USA)

SP1.6
Robust Distant Talking Speech Recognition Q. Lin, C. Che, D. Yuk, L. Jin, J. Flanagan, B. Vries, J. Pearson, CAIP Center, Rutgers University, Piscataway, NJ (USA)

SP1.7
Time-Frequency Representation Based Cepstral Processing For Speech Recognition A. Fineberg, K. Yu, Motorola Lexicus, Palo Alto, CA (USA)

SP1.8
A Knowledge-Based Signal Representation for Speech Recognition C. Espy-Wilson, N. Bitar, Boston University, ECS Dept., Boston, MA (USA)

SP1.9
Optimization of a Phoneme Similarity Based ASR Front-End T. Applebaum, B. Hanson, P. Morin, Speech Technology Lab, Santa Barbara, CA (USA)

SP1.10
A Model of Dynamic Auditory Perception and its Application to Robust Speech Recognition B. Strope, A. Alwan, Dept. of Electrical Eng., UCLA, Los Angeles, CA (USA)



SP2
Speech Processing
Poster, Tuesday Morning, SZLB 2
Robust Recognition: Noise and Environment
Jack Deller - Michigan State Univ.

SP2.1

Independent Calculation of Power Parameters on PMC Method H. Yamamoto, M. Yamada, T. Kosaka, Y. Komori, Y. Ohora, Canon Inc., Media Technology Lab., Kanagawa (JAPAN)

SP2.2
Noisy Speech Recognition Using Variance Adapted Likelihood Measure H. Wang, J. Chien, Dept. of Electrical Eng., National Tsing Hua Univ., Hsinchu, Taiwan (ROC)

SP2.3
An Improved Noise Compensation Algorithm for Speech Recognition in Noise R. Yang, P. Haavisto, Nokia Research Center, Tampere (FINLAND)

SP2.4
Robust Speech Recognition via Speaker Stress Classification B. Womack, J. Hansen, Duke University, Dept of Electrical Engineering, Durham, NC (USA)

SP2.5
High-Accuracy Connected Digit Recognition for Mobile Applications S. Gupta, F. Soong, R. Haimi-Cohen, AT&T Bell Labs, Murray Hill, NJ (USA)

SP2.6
Feature Extraction Based on Zero-Crossings with Peak Amplitudes for Robust Speech Recognition in Noisy Environments D. Kim, J. Jeong, J. Kim, S. Lee, Dept. of Electrical Eng., Korea Advanced Inst. of Science and Technology, Taejon (ROK)

SP2.7
Improving Environmental Robustness in Large Vocabulary Speech Recognition P. Woodland, M. Gales, D. Pye, Cambridge University, Engineering Department, Cambridge, (UK)

SP2.8
Noise and Room Acoustics Distorted Speech Recognition by HMM Composition S. Nakamura, T. Yamada, K. Shikano, Nara Inst. of Science & Tech., Nara (JAPAN)

SP2.9
Developments in Continuous Speech Dictation Using the 1995 ARPA NAB News Task J. Gauvain, L. Lamel, G. Adda, D. Matrouf, LIMSI - CNRS, Orsay (FRANCE)

SP2.10
Evaluation of the Root-Normalized Front-End (RN-EFCC) for Speech Recognition in Wireless GSM Network Environments P. Lockwood, S. Dufour, MATRA Communication, Bois D'Arcy (FRANCE)



SP3
Speech Processing
Lecture, Tuesday Morning, Salon I
Speaker Recognition I
Joe Campbell - DoD

SP3.1

Cohort Selection for Connected Digit Password Speaker Verification A. Rosenberg, S. Parthasarathy, AT&T Bell Laboratories, Murray Hill, NJ (USA)

SP3.2
Cohort Selection and Word Grammar Effects on Speaker Recognition J. Colombi, D. Ruck, T. Anderson, S. Rogers, M. Oxley, Wright-Patterson AFB, OH (USA)

SP3.3
Discriminative Training of GMM for Speaker Identification C. Martin-Del-Alamo, J. Caminero-Gil, C. De-La-Torre, L. Hernandez-Gomez, Tecnologia Del Habla, Telefonica I+D, Madrid (SPAIN).

SP3.4
Subword-Based Text-dependent Speaker Verification with User-Defined Passwords M. Sharma, R. Mammone, CAIP Center, Rutgers University, Piscataway, NJ (USA)

SP3.5
Robust Methods of Updating Model and A Priori Threshold in Speaker Verification T. Matsui, S. Furui, NTT Human Interface Labs, Furui Research Lab., Tokyo (JAPAN)

SP3.6
A Further Investigation of AR-Vector Models for Text-Independent Speaker Identification I. Magrin-Chagnolleau, J. Wilke, F. Bimbot, ENST Dpt. Signal, Paris (FRANCE)

SP3.7
Text-Independent Speaker Identification via Support Vectors M. Schmidt, BBN, Cambridge, MA (USA)

SP3.8
Speaker Verification Using Mixture Likelihood Profiles Extracted from Speaker Independent Hidden Markov Models A. Setlur, R. Sukkar, M. Gandhi, AT&T Bell Laboratories, Naperville, IL (USA)

SP3.9
The Effects of Handset Variability on Speaker Recognition Performance- Experiments on the Switchboard Corpus D. Reynolds, MIT Lincoln Laboratory, Lexington, MA (USA)

SP3.10
Speaker Recognition in Reverberant Enclosures P. Castellano, S. Sridharan, D. Cole, Signal Processing Research Ctr, Queensland University of Tech, Brisbane (AUSTRALIA)



SP4
Speech Processing
Poster, Tuesday Afternoon, North 2
Speech Recognition: Large Vocabulary
John Bridle - Dragon Systems UK Ltd.

SP4.1

Using a Transcription Graph for Large Vocabulary Continuous Speech Recognition Z. Li, D. O'Shaughnessy, INRS-Telecommunications, Verdun, Quebec (CANADA)

SP4.2
Fast and Accurate Recognition of Very-Large-Vocabulary Continuous Mandarin Speech for Chinese Language with Improved Segmental Probability Modeling J. Shen, S. Hwang, L. Lin-shan, Dept. Elect. Eng., National Taiwan University Taipei, Taiwan, (ROC)

SP4.3
Decoding Optimal State Sequence with Smooth State Likelihoods I. Zeljkovic, AT&T Bell Laboratories, Murray Hill, NJ (USA)

SP4.4
Improvements on the Pronunciation Prefix Tree Search Organization F. Alleva, X. Huang, M. Hwang, Microsoft Corporation, Redmond, WA (USA)

SP4.5
Minimizing Search Errors Due to Delayed Bigrams in Real-Time Speech Recognition Systems M. Woszczyna, M. Finke, Interactive Systems Labs-UNIKA, Universitat Karlsruhe-ILKD, Karlsruhe (GERMANY)

SP4.6
Real-Time Recognition of Radio Broadcast Speech G. Cook, Cambridge University, Engineering Dept, Cambridge (UK)

SP4.7
Spontaneous Dialogue Speech Recognition Using Cross-Word Context Constrained Word Graphs T. Shimizu, H. Yamamoto, H. Masataki, S. Matsunaga, Y. Sagisaka, ATR Interp. Telecom. Res. Labs, Kyoto (JAPAN)

SP4.8
Efficient Evaluation of the LVCSR Search Space Using the NOWAY Decoder S. Renals, M. Hochberg, Dept of Computer Science, University of Sheffield, Sheffield (UK)

SP4.9
Developments in Large Vocabulary, Continuous Speech Recognition of German M. Adda-Decker, G. Adda, L. Lamel, J. Gauvain, LIMSI - CNRS, Orsay (FRANCE)

SP4.10
Speech Recognition on Mandarin Call Home- A Large-Vocabulary, Conversational, and Telephone Speech Corpus F. Liu, M. Picheny, P. Srinivasa, M. Monkowski, J. Chen, Human Language Technologies Gr, IBM T.J. Watson Research Ctr, Yorktown Heights, NY (USA)



SP5
Speech Processing
Poster, Tuesday Afternoon, North 3
Speech Recognition: Language Modeling II
John Lafferty - CMU

SP5.1

Multilingual Stochastic N-Gram Class Language Models M. Jardino, LIMSI-CNRS, Universite Paris-SUD, Paris (FRANCE)

SP5.2
A Variable-Length Category-Based N-Gram Language Model T. Niesler, P. Woodland, Cambridge University, Engineering Dept, Cambridge (UK)

SP5.3
Improving N-Gram Models by Incorporating Enhanced Distributions J. Ming, P. O'Boyle, J. McMahon, J. Smith, School of Electrical Eng., Queen's University of Belfast, Belfast (UK)

SP5.4
A Novel Word Clustering Algorithm Based on Latent Semantic Analysis J. Bellegarda, J. Butzberger, Y. Chow, N. Coccaro, D. Naik, Apple Computer, Inc. Cupertino, CA (USA).

SP5.5
Statistical Natural Language Understanding M. Epstein, S. Roukos, T. Ward, S. Della Pietra, IBM T.T. Watson Labs, Yorktown Heights, NJ (USA)

SP5.6
Clustering Words for Statistical Language Models Based on Contextual Word Similarity A. Farhat, J. Isabelle, INRS-Telecommunications, Verdum, Quebec (CANADA)

SP5.7
Domain Word Translation By Space-Frequency Analysis of Context Length Histograms P. Fung, Computer Science Dept., Columbia University New York, NY (USA)

SP5.8
Variable-Order N-gram Generation by Word-class Splitting and Word Sequence Grouping H. Masataki, Y. Sagisaka, ATR Interpreting Telecom. Res., Kyoto (JAPAN)

SP5.9
Back-off Method for N-gram Smoothing Based on Binomial Posteriori Distribution T. Kawabata, M. Tamoto, NTT Basic Research Labs, Kanagawa (JAPAN)

SP5.10
Ergodic Multigram HMM Integrating Word Segmentation and Class Tagging for Chinese Language Modeling H. Law, C. Chan, Dept of Computer Science, The University of Hong Kong (HONG KONG)



SP6
Speech Processing
Lecture, Tuesday Afternoon, Salon I
Low-Rate Speech Coding
R. McAulay - MIT Lincoln Labs

SP6.1

A 2.4 kbit/s MELP Coder Candidate for the New U.S. Federal Standard A. McCree, K. Truong, E. George, T. Barnwell, V. Viswanathan, Systems & Information Science, Texas Instruments, Dallas, TX (USA)

SP6.2
Harmonic - Stochastic eXcitation (HSX) Speech Coding Below 4Kb/s C. Laflamme, R. Matmti, R. Salami, J. Adoul, Dept of Electrical & Comp Eng, Faculty of Applied Sciences, University of Sherbrooke, Quebec (CANADA)

SP6.3
A High Quality MBE-LPC-FE Speech Coder at 2.4kbps and 1.2kbps T. Wang, K. Tang, C. Feng, Dept. of Electronic Eng., Tsinghua University, Beijing (PRC)

SP6.4
A Low-Complexity Waveform Interpolation Coder W. Kleijn, Y. Shoham, D. Sen, R. Hagen, Room 2D554, AT&T Bell Laboratories, Murray Hill, NJ (USA)

SP6.5
Mixed-Domain Coding of Speech at 3 Kbps J. De Martin, A. Gersho, Dept of Elect & Comp Eng, University of California Santa Barbara, CA (USA)

SP6.6
Source Driven-Variable Bit Rate Protoype Interpolation Coding C. Xydeas, B. Cao, Electrical Eng., University of Manchester, Manchester (UK)

SP6.7
A New Approach to Very Low-Rate Speech Coding Using Temporal Decomposition S. Ghaimmaghami, M. Deriche, SPRC, EESE, QUT, Brisbane, QLD (AUSTRALIA)

SP6.8
A Variable Frame Pitch Estimator and Test Results X. Qian, R. Kumaresan, Dept. of Electrical Eng., University of Rhode Island, Kingston, RI (USA)

SP6.9
Robust Method of Measurement of Fundamental Frequency by ACLOS - AutoCorrelation of Log Spectrum - N. Kunieda, T. Shimamura, J. Suzuki, Dept Information & Comp Science, Saitama University, Urawa (JAPAN)

SP6.10
Lag-Indexed VQ for Pitch Filter Coding S. McClellan, J. Gibson, Dept. of Elect & Comp Eng, University of Alabama, Birmingham, Birmingham, AL (USA)



SP7
Speech Processing
Poster, Wednesday Morning, South 1
Wideband Coding and Emerging Techniques
J.-H. Chen - AT&T Bell Labs

SP7.1

Embedded Algebraic Vector Quantizer (EAVQ) with Application to Wideband Speech Coding M. Xie, J. Adoul, Dept. of Electrical/Comp Eng., University of Sherbrooke, Quebec (CANADA)

SP7.2
The Two-Dimensional Discrete Cosine Transform Applied to Speech Data O. Tokhi, L. Baghai-Ravary, S. Beet, Dept. of AC & SE, University of Sheffield, Sheffield (UK)

SP7.3
Real-Time High Accurate Cell Loss Recovery Technique for Speech Over ATM Networks K. Matsumoto, Advanced LSI Lab, NTT LSI Laboratories, Kanagawa (JAPAN)

SP7.4
Predictive Fractal Interpolation Mapping- Differential Speech Coding at Low Bit Rates Z. Wang, University of Waterloo, Waterloo, ON (CANADA)

SP7.5
16kbit/s Wideband Speech Coding Based on Unequal Subbands J. Paulus, Inst. of Comm. Syst.and Data Processing (IND), Aachen Univ. of Tech., Aachen (GERMANY)

SP7.6
Low Delay IIR QMF Banks with High Perceptive Quality for Speech Processing T. Kleinmann, A. Lacroix, Inst. of Applied Physics, Univ of Frankfurt, Frankfurt (GERMANY)

SP7.7
Demodulators for AM-FM Models of Speech Signals- A Comparison S. Lu, P. Doerschuk, Electrical Eng., Purdue University, West Lafayette, IN (USA)

SP7.8
Synthesis and Coding of Continuous Speech with the Nonlinear Oscillator Model G. Kubin, Vienna University of Tech, Vienna (AUSTRIA)

SP7.9
Variable Frame Rate Parameter Encoding via Adaptive Frame Selection Using Dynamic Programming E. George, A. McCree, V. Viswanathan, Texas Instruments, Inc., Dallas, TX (USA)

SP7.10
Transform Predictive Coding of Wideband Speech Signals J. Chen, D. Wang, AT&T Bell Labs, Murray Hill, NJ (USA)



SP8
Speech Processing
Poster, Wednesday Morning, South 2
Topic Identification and Spoken Information Retrieval
Al Gorin - AT&T Bell Labs

SP8.1

A System for Unrestricted Topic Retrieval From Radio News Broadcast D. James, UBILAB, Union Bank of Switzerland, Zurich (SWITZERLAND)

SP8.2

Automated Generation of N-Best Pronunciations of Proper Nouns N. Deshmukh, M. Weber, J. Picone, Mississippi State University, Starkville, MS (USA)

SP8.3
An Efficient Voice Retrieval System for Very-Large-Vocabulary Chinese Textual Databases with a Clustered Language Model S. Lin, L. Chien, K. Chen, Dept of Elect. Eng., National Taiwan University Taipei, Taiwan, (ROC)

SP8.4
Concept-based Phrase Spotting Approach for Spontaneous Speech Understanding T. Kawahara, N. Kitaoka, S. Doshita, Dept of Information Science, Kyoto University, Sakyo-ku, Kyoto (JAPAN)

SP8.5
A Dictionary Based Method for Determining Conversational Tips P. Schone, D. Nelson, R. Bates, Dept. of Defense, Ellicott City, MD (USA)

SP8.6
Keyword Spotting for Video Soundtrack Indexing P. Gelin, C. Wellekens, Institut Eurecon, Dept of Multimedia Communicat., Sophia Antipolis (FRANCE)

SP8.7
Improvements in Switchboard Recognition and Topic Identification B. Peskin, S. Connolly, L. Gillick, S. Lowe, D. McAllaster, V. Nagesha, P. van Mulbregt, S. Wegmann, Dragon Systems, Inc., Newton, MA (USA)

SP8.8
Statistical Models for Topic Identification Using Phoneme Substrings J. Wright, M. Carey, E. Parris, Dept of Engineering Mathematic, Univ. Bristol, Bristol (UK)

SP8.9
Robust Talker-Independent Audio Document Retrieval G. Jones, J. Foote, K. Spark Jones, S. Young, Cambridge University, Engineering Department, Cambridge (UK)

SP8.10
Unsupervised Topic Clustering of Switchboard Speech Messages B. Carlson, MIT Lincoln Laboratory, Lexington, MA (USA)



SP9
Speech Processing
Lecture, Wednesday Morning, Salon I
Robust Recognition: Compensation and Normalization
Richard Stern - Carnegie Mellon Univ.

SP9.1

Speaker Recognition and Speaker Normalization by Projection to Speaker Subspace Y. Ariki, S. Tagashira, M. Nishijima, Dept of Elect. & Informatics, Ryukoku University, Seta, Otsu (JAPAN)

SP9.2
Compensated Mel Frequency Cepstrum Coefficients R. Vergin, D. O'Shaughnessy, V. Gupta, IWRS-Telecommunications, Verdun, Quebec (CANADA)

SP9.3
Adaptation Method Based on HMM Composition and EM Algorithm Y. Minami, S. Furui, NTT Human Interface Labs, Furui Research Lab, Tokyo (JAPAN)

SP9.4
SNR-Normalisation for Robust Speech Recognition T. Claes, D. Van Compernolle, ESAT - M12, Heverlee (BELGIUM)

SP9.5
Towards Robustness to Fast Speech in ASR N. Mirghafori, N. Morgan, International Computer Sc. Ins, Berkeley, CA (USA)

SP9.6
Speaker Normalization on Conversational Telephone Speech S. Wegmann, D. McAllaster, J. Orloff, B. Peskin, Dragon Systems, Inc., Newton, MA (USA)

SP9.7
Speaker and Gender Normalization for Continuous-Density Hidden Markov Models A. Acero, X. Huang, Microsoft, Redmond, WA (USA)

SP9.8
A Parametric Approach to Vocal Tract Length Normalization E. Eide, BBN Systems & Technologies, Cambridge, MA (USA)

SP9.9
A Study on Speech Recognition for Children and the Elderly J. Wilpon, C. Jacobsen, TeleDanmark/Jydsk Telefon, Tranbjerg (DENMARK)

SP9.10
Speaker Normalization Using Efficient Frequency Warping Procedures L. Lee, R. Rose, AT&T Bell Labs, Murray Hill, NJ (USA)



SP10
Speech Processing
Poster, Wednesday Afternoon, South 1
Speech Synthesis
Eric Moulines - Telecom-PARIS

SP10.1

A Fast Stochastic Parser for Determining Phrase Boundaries for Text-to-Speech Synthesis R. Sharman, J. Wright, Dept of Engineering Mathematics, Univ. Bristol, Bristol (UK)

SP10.2
Speech Concatenation and Synthesis Using an Overlap-add Sinusoidal Model M. Macon, M. Clements, School of ECE, Georgia Tech, Atlanta, GA (USA)

SP10.3
Voice Conversion Using Partitions of Spectral Feature Space W. Verhelst, J. Mertens, Vrije Universiteit Brussel, (BELGIUM)

SP10.4
Determination of Vocal-Tract Shapes from Formant Frequencies Based on Perturbation Theory and Interpolation Method Z. Yu, P. Ching, Dept. of Electronic Eng., Chinese Univ. of Hong Kong (HONG KONG)

SP10.5
Unit Selection in a Concatenative Speech Synthesis System Using a Large Speech Database A. Hunt, A. Black, ATR, Kyoto (JAPAN)

SP10.6
Parametric Hybrid Source Models for Voiced and Voiceless Fricative Consonants S. Narayanan, A. Alwan, Dept of Electrical Engineering, UCLA, Los Angeles, CA (USA)

SP10.7
High Quality Speech Synthesis Using Context-Dependent Syllabic Units T. Saito, Y. Hashimoto, M. Sakamoto, IBM Research, Tokyo Rsch. Lab, IBM Japan, Ltd., Shimotsuruma (JAPAN)

SP10.8
Articulatory Copy Synthesis Using a Nine Parameter Vocal Tract Model D. Wei, C. Goodyear, Dept. of Electrical Eng., University of Liverpool, Liverpool (UK)

SP10.9
Speech Synthesis Using HMMs with Dynamic Features T. Masuko, K. Tokuda, T. Kobayashi, S. Imai, Precision and Intelligence Laboratory, Tokyo Inst. of Technology, Tokyo (JAPAN)

SP10.10
Interpolating V/UV Mixture Functions of a Harmonic Model for Concatenative Speech Synthesis K. Lam, C. Chan, Dept of Electronic Engineering, City University of Hong Kong (HONG KONG)



SP11
Speech Processing
Poster, Wednesday Afternoon, South 2
Speech Recognition: Language Modeling I
Doug O'Shaughnessy - INRS

SP11.1

An Efficient Top-Down Parsing Algorithm for Understanding Speech by Using Stochastic Syntactic and Semantic Models H. Stahl, J. Muller, M. Lang, Inst. for Human-Mach-Comm., Munich University of Tech., Munich (GERMANY)

SP11.2
Data-Driven Discourse Modeling for Semantic Interpretation J. Alvarez-Cercadillo, F. Caminero-Gil, L. Hernandez-Gomez, Tecnologia del Habla, Telefonica I+D, Madrid (SPAIN)

SP11.3
Statistical Language Modeling for Speech Disfluencies A. Stolcke, E. Shriberg, SRI International, Menlo Park, CA (USA)

SP11.4
JANUS II-Advances in Spontaneous Speech Translation M. Woszczyna, A. Waibel, M. Finke, T. Kemp, D. Gates, M. Gavalda, A. Lavie, L. Levin, M. Maier, L. Mayfield, A. McNair, I. Rogina, K. Shima, T. Sloboda, T. Zeppenfeld, P. Zhan, University of Karlsruhe-ILKD, Karlsruhe (GERMANY)

SP11.5
Language Model Acquisition From A Text Corpus for Speech Understanding T. Matsuoka, R. Hasson, M. Barlow, S. Furui, Furui Research Lab, NTT Human Interface Labs, Tokyo (JAPAN)

SP11.6
A Class Based Language Model for Speech Recognition W. Ward, S. Issar, School of Computer Science, Carnegie Mellon University, Pittsburgh, PA (USA)

SP11.7
An Integrated Model of Acoustics and Language Using Semantic Classification Trees E. Noth, J. Fischer, A. Gebhard, S. Harbeck, R. Kompe, H. Niemann, M. Mast, R. Kuhn, Lehrstuhl fur Mustererkennung, (Informatik 5), Erlangen (GERMANY)

SP11.8
Combining Stochastic and Linguistic Language Models for Recognition of Spontaneous Speech W. Eckert, F. Gallwitz, H. Niemann, Lehrstuhl fur Mustererkennung, (Informatik 5), Erlangen (GERMANY)

SP11.9
Error Correction via a Post-Processor for Continuous Speech Recognition E. Ringger, J. Allen, Dept of Computer Science, University of Rochester Rochester, NY (USA)

SP11.10
Integration of Concept-Driven Semantic Interpretation with Speech Recognition N. Akito, Y. Ishikawa, K. Nakajima, Media Technology Dept., Interface Technology Lab Mitsubishi Elec. Corp., Kanagawa (JAPAN)



SP12
Speech Processing
Lecture, Wednesday Afternoon, Salon II
Speech Recognition: Acoustic Modeling
S. Sagayama - NTT

SP12.1

A Second-Order HMM for High Performance Word and Phoneme-Based Continuous Speech Recognition J.-F. Mari, D. Fohr, J. Junqua, CRIN-CNRS & INRIA, Vandoeuvre-les-Nancy (FRANCE)

SP12.2
Evaluation of Segmental Unit Input HMM S. Nakagawa, K. Yamamoto, Toyohashi University of Tech., Dept of Information & Comp Sc. Toyohashi-shi (JAPAN)

SP12.3
Design of a Speech Recognition System Based on Non-Uniform Segmental Units M. Bacchiani, M. Ostendorf, Y. Sagisaka, K. Paliwal, ATR Int. Telecom. Res. Labs, Kyoto (JAPAN)

SP12.4
Modeling Speech Variability with Segmental HMMs W. Holmes, M. Russell, Speech Rsch. Unit, Malvern (UK)

SP12.5
Context-Dependent Units for Vocabulary-Independent Spanish Speech Recognition L. Villarrubia, L. Gomez, J. Elvira, Tecnologia del Habla, Telefonica I+D, Madrid (SPAIN)

SP12.6
Context-Dependent Acoustic Models in Chinese Speech Language B. Ma, B. Xu, T. Huang, X. Zhang, National Lab of Pattern Recog., Beijing (PRC)

SP12.7
Automatic Recognition of Danish Natural Numbers for Telephone Applications C. Jacobsen, J. Wilpon, TeleDanmark/Jydsk Telefon, Tranbjerg (DENMARK)

SP12.8
Explicit Modeling of Coarticulation in a Statistical Speech Recognizer R. Chen, L. Jamieson, School of Elec/Comp Eng., Purdue University, West Lafayette, IN (USA)

SP12.9
Tied-Structure HMM Based on Parameter Correlation for Efficient Model Training S. Takahashi, S. Sagayama, Speech & Acoustics Lab, NTT Human Interface Labs., Kanagawa (JAPAN)

SP12.10
A Semi-Continuous Stochastic Trajectory Model for Phoneme-Based Continuous Speech Recognition O. Siohan, Y. Gong, CRIN-CNRS & INRIA Lorraine, Vandoeuvre-les-Nancy (FRANCE)



SP13
Speech Processing
Poster, Thursday Morning, SZLB 1
Speech Coding Quality Assessment
S. R. Quackenbush - AT&T Bell Labs

SP13.1

Automatic Evaluation of Speaker Recognizability of Coded Speech K. Assaleh, Motorola, M/D H1175, 8201 E. McDowell Road Scottsdale, AZ (USA)

SP13.2
A Perceptually-Based Objective Measure for Speech Coders Using Abductive Network M. Meky, T. Saadawi, Dept of Electrical Eng., City College of the City University of New York, New York, NY (USA)

SP13.3
Objectively Measured Descriptors Applied to Speaker Characterization B. Necioglu, M. Clements, T. Barnwell, School of Electr & Comp Eng, Georgia Institute of Technology Atlanta, GA (USA)

SP13.4
Objective Speech Quality Measure for Cellular Phone K. Lam, O. Au, C. Chan, K. Hui, S. Lau, Dept. of Electrical Eng., Hong Kong Univ. of Science (HONG KONG)

SP13.5
Vector Quantization Techniques for Output-Based Objective Speech Quality C. Jin, R. Kubichek, Electrical Engineering Dept, University of Wyoming, Laramie, WY (USA)

SP13.6
Objective Measures for Speech Quality Assessment in Wireless Communication B. Aruna, M. Vis, US West Advanced Technologies, Boulder, CO (USA)

SP13.7
Performance Assessment of 4.8 kbit/s AMBE Coding Under Aeronautical Environmental Conditions S. Campos Neto, F. Corcoran, J. Phipps, S. Dimolitsas, COMSAT Laboratories, Clarksburg, MD (USA)

SP13.8
Normalization of Cellular Telephone Speech for Recognition by Adaptive Vector Quantization R. Rajasekaran, M. Sonmez, J. Baras, Institute for Systems Research, University of Maryland, College Park, MD (USA)

SP14
Speech Processing
Lecture, Thursday Morning, Salon I
Speech Recognition: Out-of-Vocabulary Modeling and Rejection
Robin Rohlicek - BBN Systems & Technologies

SP14.1

Efficient Decoding and Training Procedures for Utterance Verification in Continuous Speech Recognition E. Lleida, R. Rose, AT&T Bell Labs, Murray Hill, NJ (USA)

SP14.2
Confidence Measures for the SWITCHBOARD Database S. Cox, R. Rose, School of Information Systems, University of East Anglia, Norwich (UK)

SP14.3
A Phone-Dependent Confidence Measure for Utterance Rejection Z. Rivlin, M. Cohen, V. Abrash, T. Chung, SRI International, Menlo Park, CA (USA)

SP14.4
Utterance Verification of Keyword Strings Using Word-Based Minimum Verification Error (WB-MVE) Training R. Sukkar, A. Setlur, M. Rahim, C. Lee, AT&T Bell Laboratories, Naperville, IL (USA)

SP14.5
Discriminative Utterance Verification Using Minimum String Verification Error (MSVE) Training M. Rahim, C. Lee, B. Juang, W. Chou, AT&T Bell Laboratory, Murray Hill, NJ (USA)

SP14.6
Fast Implementation Methods for Viterbi-based Word-Spotting K. Knill, S. Young, Cambridge University, Engineering Department, Cambridge (UK)

SP14.7
Improving Wordspotting Performance with Artificially Generated Data E. Chang, R. Lippmann, Corona Corporation, Menlo Park, CA (USA)

SP14.8
Modelling Unknown Words in Spontaneous Speech T. Kemp, A. Jusek, University of Karlsruhe, Karlsruhe (GERMANY)

SP14.9
Improved Modelling of OOV Words in Spontaneous Speech- Iterative Substitution P. Regel-Brietzmann, P. Fetter, A. Kaltenmeier, T. Kuhn, Research Center Daimler-Benz, Ulm (GERMANY)

SP14.10
Two-Pass Strategy for Continuous Speech Recognition with Detection and Transcription of Unknown Words S. Matsunaga, H. Sakamoto, ATR Interpreting Telecom Res., Kyoto (JAPAN)



SP15
Speech Processing
Poster, Thursday Afternoon, SZLB 1
Topics in Speech Coding
T. Moriya - NTT

SP15.1

A Modified Generalised Lloyd Algorithm for VQ Codebook Design S. Koh, C. Chen, P. Sivaprakasapillai, School of EEE, Nanyang Technological Univ., Singapore (SINGAPORE)

SP15.2
Robust Classification of Speech Based on the Dyadic Wavelet Transform with Application to CELP Coding J. Stegmann, G. Shroder, K. Fischer, Deutsche Telekom AG (GERMANY)

SP15.3
Optimal Wavelet Packets for Low-Delay Audio Coding P. Philippe, F. Moreau de St-Martin, M. Lever, J. Soumagne, CCETT, Cesson-Sevigne (FRANCE)

SP15.4
A Fast VSELP Speech Coder Based on Mutually Orthonormal Regular Pulse Vectors Y. Choi, H. Kang, D. Youn, ASSP Lab, Dept. of Electronic Eng., Yonsei University, Seoul (ROK)

SP15.5
Dual-Pulse CS-CELP: A Toll Quality Low-Complexity Speech Coder at 7.8 kbit/s H. Ohmuro, J. Ikedo, T. Moriya, A. Kataoka, S. Hayashi, K. Mano, NTT Human Interface Labs, Kanagawa (JAPAN)

SP15.6
Low-Delay Error Robust LD-M-LCELP for GSM EFR S. Taumi, K. Ozawa, T. Nomura, M. Serizawa, Information Technology, Research Labs NEC Corporation, Kanagawa (JAPAN)

SP15.7
Speech Compression with Cosine and Wavelet Packet Near-Best Bases C. Taswell, Scientific Computing & Computational Mathematics, Stanford University, Palo Alto, CA (USA)

SP15.8
An Enhanced Full Rate Speech Coder for Digital Cellular Applications W. Leblanc, C. Liu, V. Viswanathan, Texas Instruments, Dallas, TX (USA)

SP15.9
Optimum Harmonics Tracking Filter for Auditory Scene Analysis K. Nishi, S. Ando, S. Aida, Dept of Communication & Systems Engineering, Univ of Electro-Communications, Tokyo (JAPAN)

SP15.10
Selective Error Protection of ITU-T G 729 Codec for Digital Cellular Channels K. Swaminathan, R. Hammons, Hughes Network Systems, Germantown, MD (USA)



SP16
Speech Processing
Poster, Thursday Afternoon, SZLB 2
Speech Recognition: Training Sequences
Ramesh Gopinath - IBM

SP16.1

Discriminative Training of Stochastic Markov Graphs for Speech Recognition F. Wolferstetter, G. Ruske, Inst. for Human-Mach-Comm., Munich University of Tech, Munich (GERMANY)

SP16.2
Incremental ML Estimation of HMM Parameters for Efficient Training Y. Gotoh, H. Silverman, Division of Engineering, Brown University Providence, RI (USA)

SP16.3
Improved HMM Training and Scoring Strategies L. Arslan, J. Hansen, Duke University, Dept of Electrical Eng., Durham, NC (USA)

SP16.4
Maximum Mutual Information Codebook Mapping for Discrete Hidden Markov Models V. Fontaine, C. Ris, H. Leich, Faculte Polytechnique de Mons, Mons (BELGIUM)

SP16.5
Minimum Classification Error Training for a Small Amount of Data Enhanced by Vector-Field-Smoothed Bayesian Learning J. Takahashi, S. Sagayama, NTT Human Interface Labs, Kanagawa (JAPAN)

SP16.6
Maximum Likelihood Successive Splitting H. Singer, M. Ostendorf, ATR Int. Tele. Res. Labs, Kyoto (JAPAN)

SP16.7
Lattice-Based Discriminative Training for Large Vocabulary Speech Recognition V. Valtchev, P. Woodland, S. Young, Cambridge University, Engineering Department, Cambridge (UK)

SP16.8
Training Algorithms for a Predictive Classifier P. Rao, R. Raveendran, Tata Institute of Fundamental, Research, Comp Syst. Group, Bombay (INDIA)

SP16.9
Discriminative Training of Gaussian Mixture Models for Large-Vocabulary Speech-Recognition Systems L. Bahl, M. Padmanabhan, D. Nahamoo, P. Gopalakrishnan, IBM T.J. Watson Resch. Ctr., Yorktown Heights, NY (USA)

SP16.10
Stochastic Observation Hidden Markov Models C. Mitchell, M. Harper, L. Jamieson, AT&T Bell Laboratories, Murray Hill, NJ (USA)



SP17
Speech Processing
Lecture, Thursday Afternoon, Salon I
Speech Enhancement
Yan-Ming Cheng - Motorola

SP17.1

Recursive Speech Enhancement Using the EM Algorithm with Initial Conditions Trained by HMMs B. Lee, K. Lee, I. Song, Dept. of Electronics Eng., Changwon National University Changwon, Kyungnam (ROK)

SP17.2
Robust Noise Reduction for Speech and Audio Signals S. Godsill, P. Rayner, Cambridge Univ., Engineering Dept. Cambridge (UK)

SP17.3
Speech Enhancement Based on a Priori Signal-to-Noise Ratio Estimation J. Vieira-Filho, P. Scalart, LAA/TSS/CMC, Lannion (FRANCE)

SP17.4
Noise Model Adaptation in Model Based Speech Enhancement B. McKinley, G. Whipple, Signal Processing Consultants, Fairfax, VA (USA)

SP17.5
Analysis of Two Structures for Combined Acoustic Echo Cancellation and Noise Reduction Y. Guelou, A. Benamar, P. Scalart, CNET/LAA/TSS/CMC, Lannion (FRANCE)

SP17.6
Speech Enhancement Using M-Band and Voiced/Unvoiced Decompositions with an Adaptive Analysis Window C. Yoo, MIT, Cambridge, MA (USA)

SP17.7
Text-Directed Speech Enhancement Using Phoneme Classification and Feature Map Constrained Vector Quantization B. Pellom, J. Hansen, Duke University, Dept of Electrical Eng., Durham, NC (USA)

SP17.8
A Method for CD-Channel Interference Suppression by Singularity Estimation A. Satish, P. Usharani, School of EE, Purdue University, West Lafayette, IN (USA)

SP17.9
Multi-Channel Signal Separation D. Chan, P. Rayner, S. Godsill, Signal Processing/Comm. Lab, Dept. of Engineering, University of Cambridge, Cambridge (UK)

SP17.10
Localization by Harmonic Structure and Its Application to Harmonic Sound Stream Segregation T. Nakatani, M. Goto, H. Okuno,